STUDY PROGRAM: UNIT 1 AND UNIT

Size: px
Start display at page:

Download "STUDY PROGRAM: UNIT 1 AND UNIT"

Transcription

1 IUIT ANAYSIS I MODUE ODE: EIAM4 STUDY POGAM: UNIT AND UNIT UT aal Unery of Technology

2 EIAM4 haper : Fr Order rcu Page -. FIST ODE IUITS. Summary of Bac rcu oncep and onenon eor, capacor and nducor olage and curren relaonhp and drecon = = d = d = d = d = = = = ± + () = ± + () Krchoff olage law (K) o o o 6 5 o o H H3 H o o 6 5 o = H8 H = H7 H6 H4 Krchoff curren law (K) olage Don urren Don Operaonal amplfer = Z T T Z Z Z + 3 = = + Z Z Z T Z Z Z T = = = Baery (conan olage) olage ource General ndependen A Dependen on anoher olage ource arable urren ource General ndependen curren ource Dependen on oher arable Mcellaneou herefore mply for all becaue equalen o We wll alway prefer he arrow conenon

3 EIAM4 haper : Fr Order rcu Page -. Zero Inpu epone We fr conder he uaon where an nal conon preen bu an ndependen ource no (h mean ha n he begnnng, here appear a olage on a capacor or here flow a curren hrough an nducor bu here no baery n he crcu afer = ). Example - efer o he = crcu n Fgure -. The wch cloed for < and opened a = and ay open for >. Deermne c () for all. Fgure - For < : c () = (capacor behae a an open crcu for dc). I ( olage don rule: = [ /( + )] T ) ( or I = /( + ), c = I = /( + ) ) For = : c () = (capacor olage canno change nananeouly). For : (nroducng and o faclae wh eng up equaon) By K: =. d Bu = d and = = d d d d d d K ln K () e () e e K () e K e / Seng = : () = e K e () = e K. Bu () = e K =. Therefore for : () e K e / / () e () = e / (noe he general forma: () = ()e / ) K a conan of negraon whch wll be deermned when we pecfy ha mu pa hrough he pon [, /(+ )]

4 EIAM4 haper : Fr Order rcu Page - 3 Summarzng he reul for all : () =, e /,. Or alernaely (perhap a lle more elegan), ( remember u() = for < and u() = for ): () = A + B + (ee wndow on he rgh) u() A = /(+ ) B = [/(+ )] u() = u() e / u() A+B = [/(+ )][ u()] / = e u().368 () e / mu reman connuou a = (capacor olage canno change nananeouly). / e = {[/(+ )]e -/ } u() Noe: The pecal alue =, called he me conan of he crcu and ha nan when he capacor ha lo 63% of nal olage. Suppoe now ha he wch wa opened laer han = a ay ome me =. Then for < o : () = and herefore ( ) =. d For : () e / e K a before. / A = : ( ) = e e K. - / Bu ( ) = e e K / ek e () = () = / e / e ( )/ e (agan noe ha () = ( )e ( )/ )

5 () EIAM4 haper : Fr Order rcu Page - 4 () now hfed a dance o he rgh wh repec o he preou eron of (), ha, wa replaced by. ( )/ e o Example - efer o he crcu n Fgure -. The wch cloed for < and opened a = and ay open for >. Deermne () for all. For < : () = Fgure - (nducor ac a a hor crcu o drec curren). For = : () = (nducor curren canno change nananeouly). For : (nroducng and o faclae wh eng up equaon) By K: + = d Bu = and = d d d d d ln K K a conan of negraon whch K wll be deermned () e () e K e when we pecfy ha mu pa Seng = : hrough he pon () = ek e () = e K (, / ) Bu () = e K =. Therefore for : (noe he () e K e / () e / general forma: () = ()e / )

6 EIAM4 haper : Fr Order rcu Page - 5 Alernaely:.368, (). e /, / () e u() () mu reman connuou a = (nducor curren canno change nananeouly). e / Noe: The pecal alue = /, called he me conan of he crcu and ha nan when he nducor curren ha dmnhed o 37% of he nal alue. / Suppoe we are gen ( ) a he nal conon, hen (mlar o Example -): ( - )/ () ( )e, for o Example -3 efer o he crcu n Fgure -3. Deermne an expreon for (), f () = 5A. Noe ha he curren ource no ndependen. For = : () = 5. (gen) For : By K: + + = 3 + = 3 + = 3 + = d Bu = d 3 + = d + = 3 Suden may ole h equaon from he ar, bu we can already begn o ee ha n dy general, he oluon for αy y() y()e α for and wh gen y(). () ()e (/3) = (/3) 5e for Alernaely we can ue Theenn heorem by remong he nducor and replacng he reor and dependen curren ource by Theenn equalen crcu. (Th may be done becaue he dependen curren ource doe no depend on he nducor (he elemen ha remoed) olage or curren.) Fgure -3 Whaeer he curren hrough, he curren ource deler wce ha amoun. Alo, he olage appear acro all hree elemen, he nducor, he curren ource and he reor, of h parallel connecon.

7 Theenn olage ( T ): (The Theenn olage he open crcu olage beween ermnal A and B) + = = T = = EIAM4 haper : Fr Order rcu Page - 6 B Theenn reance ( T ): (We wll apply a e olage beween ermnal A and B and calculae he reulng npu curren o, from whch he nernal reance T = o / o may be obaned. Th normally a ery ae and relable mehod o calculae T.) o = + = 3 and = o / o = 3 o / T = o / o = o /(3 o /) = /3 Hence he Theenn equalen crcu a reor wh alue /3 ohm. The / alue for h mple crcu ju (/3)/ = /3. () ()e (/3) /3 () 5e (/3) for A B A A T B o o I make ene becaue f a olage allow o flow hrough, hen / wll deler. Example -4 For he crcu n Fgure -4, deermne () and () = = ¼ F 4 6 Fgure -4 capacor open crcu olage don rule: = [ /( + )] T For < : () = (4/5) = 8 () = 8 4 For < : + 4 = d d 4 4 () ()e and () = 8e for <. () = 8e =.943 ¼ F 4

8 EIAM4 haper : Fr Order rcu Page - 7 For : +.4 = d d ( ) () = ()e () =.943e.667( ) () = 8 8e.667( -).943e d Furhermore, nce (), we alo hae for <, d () (8) = ( = 8 (a conan) for < ) 4 d for < : (8e () ) = e 4 d.667( ) and for : ().943e 4 =.6e () = e.6e.667( ).667( ) (4//6=.4) ¼ F.4 8 () 8e Noe: mu be connuou a = and =, becaue he capacor olage can neer change nananeouly, oherwe he capacor curren = (d /), wll become nfne (he lope of a ercal lne = ) whch urely mpoble ( ).9438e () ( ).6e.63 e Noe: can be dconnuou a = and =, becaue a jump n capacor curren wll only caue he lope of he capacor olage o change nananeouly a per d / = /

9 EIAM4 haper : Fr Order rcu Page - 8 Exerce P -. For he crcu n Fgure P -, fnd () and () for all. = F 3 Fgure P - An: () = 6e - u(), () = e - u() (Hn: fr ole for he olage acro he capacor hen and follow ealy) P - For he crcu n Fgure P -, fnd () and () for all me. = 5H 9 3 Fgure P - An: () = 3 + 3[e ]u(), () = 9 + 9[e ]u() P -3 For he crcu n Fgure P -3, fnd () and () for all me. = 8 6 6H 3 Fgure P -3 An: () = + [e ]u(), () = 6e u()

10 P -4 For he crcu n Fgure P -4, fnd () and () for all me. (a uble problem) Fgure P -4 < : () = 4 (and F = ) () = 4/6 = /3 A ( and F canno change nananeouly, can alo no change nananeouly and () = /3) : 3 6 F 3 Fndng he curren, may be mplfed by combnng he 6 F and F capacor n ere a a 4 F capacor wh nal olage of. Oherwe, defne an adonal olage acro he F capacor. K: 3 = Dfferenang h equaon: d/ 3d/ d / =... () and = 6d/ d/ = /6... () alo = d / d / = /... (3) () and (3) n (): /6 3d/ / = 3d/ + /4 = d/ + / = () = (/3)e / ( ()e (/) ), F EIAM4 haper : Fr Order rcu Page - 9 and from (): () = 6 + () () = 6 + () 6F () = e / = e / () = e / = / e e () = / e = (4/3)e / (4/3) + 4 () = (4/3)e / + 8/3 for (() = 8/3) {An: () = /3 + /3(e -/ )u(), () = 4 + 4/3(e -/ )u() } 4 = 3 6 F 4 3 8/3 8/3 4 3 An analogou waer ank problem 4 m (4 ) H F = 3 m ( ) (6 F) 6 m m ( F) 3 Waer draned = Waer ganed [harge lo 6F = harge ganed F] (4 H) 6 = (H ) H = 8/3 m may be obaned from = 3

11 EIAM4 haper : Fr Order rcu Page -.3 Zero Sae epone Now ha we hae dcued he repone of fr order crcu ha had no npu and nonzero nal conon, le u nex conder he cae of repone o a nonzero npu for a crcu n whch all he nal conon are equal o zero. Such a repone called a zero-ae repone. Example -5 onder he crcu n Fgure -5. Fnd (), () and () for all. u() u() Fgure -5 u() for for = u() d d u() for Snce u(), for le u conder he aboe dfferenal equaon for wo me neral < and. Fr, for < : d u() = Alhough a ral oluon, () = clearly a oluon of h equaon. Snce here no nal olage on he capacor and nce he npu zero before me = (zero ae crcu), h ral oluon wha we eek, ha : () =, for <. Nex for, he dfferenal equaon become d u() = Th equaon may be wren: d d

12 EIAM4 haper : Fr Order rcu Page - d ln( ) = + K. () ( K a conan of negraon ) Bu () = for <, and herefore () =, a he capacor olage canno change nananeouly. og rule: ln( ) = + K K = ln() ln(a/b)=ln(a) ln(b) Subung K = ln() n Equaon () aboe: ln( ) = ln() ln() ln( ) = ln e/ e x e / e/ e x e / ( e /) () ( e / ) () whch can alo be expreed a he ngle equaon: () ( e / )u(),. We can now fnd he capacor curren, (), from (): d() () d d For < : () [()] = () = ( = for < ) d d For : () [()] = ( e / d ) = e / d / () e = e/ = e / () / e Alernaely, e / () u(),. The olage acro he reor may now be found wh: () = () = () () e/u(), / () ()

13 EIAM4 haper : Fr Order rcu Page -.4 Forced and Naural epone For he preou example, he dfferenal equaon for he capacor olage wa: d u(), and he oluon of h equaon : () ( e / )u() = u() e /u(). Th expreon he um of wo erm, one hang he form of he npu and he oher hang he form of he zero npu repone. To underand ha h wll alway be he cae, conder he general fr order lnear dfferenal equaon: dx() ax() f(), where f() he npu o he yem and x() he repone. Mulplyng boh de by e a, ge: dx() ea e a ax() e a f() d [e a x()] e a f() A a conan of negraon. ea x() e a f() A e af() herefore an ndefne negral (no lm). x() e - a e a f() Ae - a Equaon - Th a ery mporan reul, ald for any f(). The complee oluon con of he um of wo par. The fr par, e - a e a f(), a funcon of he npu f() and called he forced repone (alo known a he eady ae repone) and we refer o f() a he forcng funcon. The oher par of he oluon, Ae - a, whch we recognze ha he form of he zero-npu repone or naural repone ( alo called he ranen repone). The naural repone n general (f a > ) anhe wh me. Now le u conder he pecfc cae where he forcng funcon a conan b (uch a a baery). dx() ax() b b The forced repone x f () gen by, x () e - a e a b e a b e a f and a a he naural repone x n (), gen by, x Ae - a n (). Thu he complee repone, x() = x f () + x n (). x() = b Ae a Equaon - a Th a ery mporan reul ald for he pecal cae f() = b = conan. We are now n a poon o analye zero ae, zero npu and crcu wh boh nonzero nal conon and nonzero npu, n a yemac way.

14 EIAM4 haper : Fr Order rcu Page - 3 Example -6 For he zero ae crcu n Fgure -6, fnd () and (). u() Fgure -6 By K: u() = d u() d d u() u() For < : d (u() = ) (he ral oluon, () = zero ae crcu) d For : dx() (of he form ax() b, b / f () =, refer o Equaon -) a / and n () = Ae a = Ae (/). Wh () = f () + n (), hen () = Ae /. Snce () =, = A A =. () () ( e / ) for. / () ( e / )u(),. And d (). For < : d d () [ ()] = (). ( () = for < ) For : d () [ ()]. () d () = ( e / ) d () = e / d () / e = e / = e /. () e /u(),. u()

15 EIAM4 haper : Fr Order rcu Page - 4 Example -7 For he zero ae op-amp crcu n Fgure -7, fnd () and o () f () = u(). o () = u() N F 8 c Fgure -7 By K a node N: + = Bu = (/8)d /, = / and = / = (op-amp rule = ) (/8)d / + / = d / + 4 = 8 < : d / + 4 = ( () = for < ) () = : d / + 4 = 8 ( () = for ) () = 8/4 + Ae -4 = + Ae -4 (from Equaon -) Bu () = = + A A = () = e -4 = ( e -4 ) for. () = ( e -4 )u() ol Furhermore, () = () + () = () + () () = ( e -4 )u() + u() () = (3 e -4 )u() ol (ral oluon, zero ae crcu) Example -8 For he zero ae crcu n Fgure -8, deermne () for () = u() u( ). 3 () = = + ( - ) = ( - ) + ( - ) = + = ( + ) = ( + ) + ( + ) = + = jump o bu reman Non nerng amplfer dc gan + (/) = 3 u() () Fgure -8 = = (d /) = ()d / + = d / + (/) = / u( )

16 EIAM4 haper : Fr Order rcu Page - 5 For <, = and he dfferenal equaon become: d / + (/) =, and nce () nally zero, () = for <. For <, = and () =, o he dfferenal equaon become: d / + (/) = / () = + Ae /, ( Equaon - ) and wh () =, A = () = ( e / ). For, = and ( ) = ( e / ), o he dfferenal equaon become: d / + (/) = () = + Ae / ( Equaon - wh b = ) () = Ae / Therefore ( ) = Ae /. Bu a he end of he he preou me neral we alo had ( ) = ( e / ). ( e / ) = Ae / A = ( e / )e / () = ( e o/ )e o/ e / = ( e o/ ( o)/ )e So ha () = ( o )e ( )/ ( a expeced ) () ( e / ) ( o / o )/ [ ( e )] e for for o for o Example -9 For he crcu n Fgure -9, deermne () f he npu curren gen by: () for for 3 F Fgure -9 () - c By K: + = 3d/ + / = d/ + /6 = /3 ( = ) For < : d/ + /6 = /3. Becaue () wa equal o (a conan) for uch a long me, from = o =, hen when we are near o =, () mu hae eled o a conan alue, ay K. Bu h conan alue, () = K, mu ll afy he dfferenal equaon. dk/ + K/6 = /3 + K/6 = /3 K = or () = for <. For : d/ + /6 = /3 ( = ) () = [( /3)/(/6)] + Ae /6 (Eq. -) () = 4 + Ae /6. Or alernaely for <, when all he curren and olage are no changng anymore (a dc cenaro), hen when we are near =, ay when =, he capacor mu behae a an open crcu. A learly () = ol.

17 EIAM4 haper : Fr Order rcu Page - 6 Bu () = = 4 + A A = 6. () = 4 + 6e /6 for. Or for () 4 6e /6. for () = u() +( 4 + 6e /6 )u() = + 6(e /6 )u(). (Noe: A mlar argumen a for < wll confrm for >, ha () end o 4, when end o nfny: dk/ + K/6 = /3, or K = 4 (+) 4 ol.) Example - For he crcu n Fgure -, fnd he zero ae repone () and (). () -4 = e -4 u() 6 H Fgure - By K: For < : For : = /6 + = (d /)/6 + d / + 3 = 3 d / + 3 = 6e -4 u() () = (zero ae) d / + 3 = 6e -4 u() d / + 3 = 6e -4 (u() = for ) () e 3 e 3 6e 4 Ae 3 (from Equaon -) () 6e 3 e Ae 3 () = 6e 3 ( e ) + Ae 3 () = 6e 4 + Ae 3 Bu () = = 6 + A A = 6 () = 6e 3 6e 4 for () = 6(e 3 e 4 )u(). And () = 6( ) = 6(e 4 u() 6(e 3 e 4 )u() () = e 4 u() 36e 3 u() + 36e 4 u() () = 48e 4 u() 36e 3 u() () = (4e 4 3e 3 )u(). d [f()g()] df() g() f() Or alernaely: () = d / = d/[6(e 3 e 4 )u()] = d/[(e 3 e 4 )u()] () = [( 3e 3 + 4e 4 )u() + (e 3 e 4 )()] (du()/ = () ) () = (4e 4 3e 3 )u() Noe: Accordng o he amplng propery of he mpule funcon (), f()() per defnon equal o f()(). Therefore (e -3 e -4 )() = (e e ) () = () =. dg()

18 EIAM4 haper : Fr Order rcu Page - 7 Exerce P -5 For he crcu n Fgure P -5, fnd he zero ae repone (). () = u() Fgure P -5 An: ½( e -/ )u() P -6 For he crcu n Fgure P -6, fnd he zero ae repone (). 6 () = u() 5 F 3 An:.486( e -7.5 ) Fgure P -6 P -7 Fnd he zero ae ep repone, (), for he crcu n Fgure P -7 o Fgure P -7 An: () = - / ( e -/ )u()

19 EIAM4 haper : Fr Order rcu Page - 8 P -8 Fnd he zero ae ep repone () and (), for he crcu n Fgure P F 6 Fgure P -8 An: () = /3(-e -4 )u() () = /3e -4 u() P -9 For he crcu n Fgure P-9, deermne () for all, f () gen by: () - for for () 5 F - Fgure P -9 An:. = /5 + d/, for <: = /5 + d/ () = r < And for >= : d/ + /5 = - = [-/(/5)] + Ae -/5 () = = -5 + A A = 5 () = e -/5 for >= []

20 EIAM4 haper : Fr Order rcu Page - 9 P - Deermne he zero ae ep repone () for he crcu n Fgure P -. F 8 6 () = u() Fgure P - An:. For <, () = ; zero ae repone For > : - = / + (/8)d/( -) 8-8 = 4 + d / - d/ 8 = + d /-d/ and / = -/6 = -/3 8 = -4 - (/3)d/-d/ 8 = -4 - (4/3)d/ 6 = -3 - d/ d/ + 3 = -6 () = - + Ae -3 bu () = = - + A A = () = (e -3 ), for > P - For he crcu n Fgure P -, deermne () f he npu olage gen by: for (). - 4 for 3 5 () F -4 Fgure P - An: () = e -/6 P- efer o he crcu n Fgure P - and deermne he zero ae ep repone () and (). = u() H Fgure P -

21 EIAM4 haper : Fr Order rcu Page - An: For < : () = and () = For > : = / and = d/( ) = d/ = [ d/]/ d/ + = = + Ae bu () = = + A A = () = e for > and = d/ = e for > P -3 efer o he crcu n Fgure P -3 and calculae () and () for all. = 4 6 A /7 F < : One could ealy ue he uperpoon heorem o calculae = () or replace he 6A / 4 Noron crcu wh a 4 / 4 Theenn equalen crcu. On he oher hand, defnng an auxlary curren S, could perhap alo be calculaed whou oo much rouble. By K (loop ): 4(6 S) S = + 6S = 4 () By K (loop ): 4 + 4S = 4S = () () + 4 (): 5 = 4 = 8 ol. () = 8 and () = (cap open crcu) Fgure - : Agan, one could mplfy he problem by //4 3 replacng he 6A/4 Noron crcu wh 6 a 4/4 Theenn crcu. Bu we can 3 alo ju ole he crcu a. 6 4(6 ) By K: 4(6 ) 3 = 7 + = 4 Bu = (/7)d/ 7 (/7)d/ + = 4 4 /7 F d/ + = 4 () = 4 + Ae. Bu () = 8 A = -6 () = 4 6e () = 8 8u() + (4 6e )u() = 8 + 6( e )u() () = (/7)d/ = (/7) 6e = (6/7)e and () = for < : () = (6/7)e u() S 4(6 S) S 4 S 4 4S

22 EIAM4 haper: Second Order rcu Page -. SEOND ODE IUITS. Zero Inpu rcu Suppoe ha for he zero npu crcu n Fgure -, he nal curren n he nducor () and he nal olage acro he capacor (). Fgure - d From he crcu, by K : d Ung he fac ha, we ge he econd order dfferenal equaon: d d d d Equaon - d Agan from he crcu: Dfferenang once yeld he econd order dfferenal equaon: d d d d Equaon - Boh Equaon - and - hae he ame form and we wll now conder he oluon o he general econd order dfferenal equaon: d y() dy() n y() The oluon may ake one of hree form (pleae noe ha h ONY he naural zero npu oluon): ) If > n (oer damped cae): e y() A e A, where ) If = n (crcally damped cae): n and y() = (A + A ) e 3) If < n (under damped cae): n, y() = e (A co d + A n d ), where d = n The conan A and A, may be calculaed from he nal alue y() and dy().

23 EIAM4 haper: Second Order rcu Page - Example - For he crcu n Fgure -, uppoe ha = 5, = ½ H and = ⅛ F. Alo uppoe ha () = A and () =. Deermne () and (). = (/) = 5 and n = /() = 4 So > n and he crcu oer damped. = n = 8 and = n = 8 () = A e + A e Wh () = : A + A =...() 8 And d()/ = 8A e A e The econd nal conon gen wa () = and no d()/. Howeer, referrng o he crcu: d()/ = () () d()/ = (/)() (/)() = () () d()/ = = d()/ = () () = () () = 4 Bu d()/ = 8A A 8A A = 4...() From () and (): A = and A = 8 () = e e for A Equaon - ha he ame form a Equaon -, 8 () = B e + B e Seng = yeld: B + B =...(3) 8 And d()/ = 8B e B e From he crcu, () = d()/ d()/ = (/)() = 8 8B B = 8...(4) From (3) and (4): B = and B = 4 8 () = e + 4e for Of coure () may alo hae been oled from: () = d()/ () 8 = ( /)( 6e + e 8 ) 5(e e ) 8 = e + 4e () = 4e - e -8 () = e - + e -8

24 EIAM4 haper: Second Order rcu Page -3 Example - For he crcu n Fgure -, fnd () and () f () = A and () =.4. (/) (/5) H F Fgure d/ = and = (/5)d/ (/5)d/ + +(/5)d / = d / + 6d/ + 5 = = 3 and n = 5 o n > under damped cae wh d = 4 r/. () = e 3 (B co4 + B n4) () = B = and d/ = e 3 ( 4B n4 + 4B co4) 3e 3 (B co4 + B n4) d()/ = d/ = = 3B + 4B = 4B 3 From he crcu: = d/ d/ = (/) = 5 d()/ = 5() d()/ = 5(.4) = 7 4B 3 = 7 B = () = e 3 (co4 n4) for = e 3 co(4 + /4) Noe: B co d + B n d = Bco( d ) where B = B B and = an - B B And () = d/ = (/5)d/[e 3 (co4 n4)] = (/5)[e 3 ( 4n4 4co4) 3e 3 (co4 n4)] = (/5)e 3 ( 7co4 n4) = (/5)e 3 [ (7) () co(4 )] an = 7 auon when calculang - refer o dagram. 7 = an = /7 = an - (/7) =.49 = an - ( / 7) = + = or = = =.9997 = () = ( 5 /5) e 3 3 co[4 (.9997)] = (/)e 3 co(4 + 3) for d()/ = 7 ()= e -3 co(4+/4) ()= (/)e -3 (co(4 + 3) -.4

25 EIAM4 haper: Second Order rcu Page -4 Example -3 For he crcu n Fgure -3, deermne () and () f () = A and () =. 3 H F Fgure d/ + = and = d/ + 3(d/ + ) + d/(d/ + ) + = d / + 4d/ + 4 = = and n = crcally damped cae. () = (A + A )e - () = A = d/ = A e - (A + A )e - d()/ = A A = A 4 Bu d/ = d()/ = () () = = = A 4 = A = 3 () = (3 + )e - for and () = d()/ + = [3e - (3+)e - ] + (3 + )e - = 3e - + e - = ( 3 + )e - for () = (3+)e - () = ( 3+)e -

26 EIAM4 haper: Second Order rcu Page -5 Exerce P - For he crcu n Fgure P -, fnd () and () for. 6 = /3 F A 3 /4 H Fgure P - An: () = -e e -, () = e -6 e - A P - For he crcu n Fgure P -, fnd () and () for all. u() F H Fgure P - An: -[-e - co(+/4)]u(), -[-e - co(-/4)]u() P -3 For he crcu n Fgure P -3, deermne () and () for. u() H F Fgure P -3 An: () = e -/ co(3/) + (/3)e -/ n(3/) A () = -(4/3)e -/ n(3/)

27 EIAM4 haper: Second Order rcu Page -6. rcu wh nonzero npu We hae condered ome econd order crcu wh zero npu and nonzero nal conon and we wll now look a econd order crcu wh nonzero npu alhough we hall lm our dcuon o forcng funcon ha are ep funcon. onder he zero ae ere crcu n Fgure -4, whoe npu a olage ep funcon. u() Fgure -4 d By K: u() d d d Snce : u() d d d u() d For < h equaon become: and he oluon () =. Howeer for, d d, Equaon -3 and a n he cae of fr-order equaon, he oluon () con of wo par he forced repone f () and he naural repone n (). Tha he oluon of he form: () = n () + f (), d d where n () he oluon o,, where = / and n = /. The forced oluon mu be of he ame form a he forcng funcon. Thu he forced repone a conan, ay K, and mu afy Equaon -3, ha, d K dk K or K =. Hence, he oluon o Equaon -3 for he oer damped cae () A e A e. For he crcally damped cae, () = + A e - + A e -. For he under damped cae, () = + A e - co d + A e - n d. n

28 EIAM4 haper: Second Order rcu Page -7 Example -4 For he crcu n Fgure -4, he under damped cae reul when =, = H and = (/5)F, nce =3 and n = 5. Alo d = 4. If = (/5), hen he oluon o Equaon -3 : () = /5 + A e -3 co4 + A e -3 n4. And () = /5 + A = A = -/5 Alo d()/ = -3A e -3 co4 4A n4 3A e -3 n4 + 4A e -3 co4 d()/ = -3A + 4A = 6/5 + 4A From he crcu () = d()/ () = (/5)d()/ Bu () = d()/ = 6/5 + 4A = A = -6/ = -3/ Therefore for : () = /5 (/5)e -3 co4 (3/)e -3 n4 = /5 (/)e -3 (4co4 + 3n4) = /5 (/)e -3 ((4 +3 ) 5co[4 + an - (3/4)] = /5 (/)e -3 co(4+.643) ombnng h wh () = for < () = [(/5) (/)e -3 co( )]u() The zero ae curren repone () = d()/ = (/5)d/{[/5 (/5)e -3 co4 (3/)e -3 n4]u()} = (/5){[/5 (/5)e -3 co4 (3/)e -3 n4]() + [(6/5)e -3 co4 + (8/5)e -3 n4 +(9/)e -3 n4 (/)e -3 co4]u()} = (/5){[(/5) (/5)]() + [(5/)e -3 n4]u()} = [(/)e -3 n4]u() ()=[.4-.5e -3 co(4+.643)]u() ()=[.5e -3 n4]u().4... Example -5 The crcu hown n Fgure -5 n eence an old-fahoned (non-elecronc) auomoble gnon yem. The npu o he crcu a auomoble baery. The ere reance con of a balla reor, he reance of he gnon wch and he ere reance of he nducor (known a he gnon col ). The capacor (called a condencer ) n parallel wh a wch (called he pon ) ha cloed for < and open for. (In acualy, he pon open and cloe perodcally he rae dependng on he engne rpm.) I he olage produced acro he col ha appled o he park plug. Th n urn produce a park ha gne he fuel mxure.

29 EIAM4 haper: Second Order rcu Page -8 3 H F = Fgure -5 For he gen crcu, for <, clearly () = and () = /3 = 4 A. Thu () = and () = 4 A. For, by K, d 6 3 d d 6 3 Hence = 3/ < n = 3 The crcu (ery) under damped wh d = n n = 3 Snce he forced repone zero, he approxmae curren ha he form, () A e -3/ co 3 + A e -3/ n 3 and () = 4 A = 4. Nex d()/=-6e -3/ co e -3/ n 3 -(3/)A e -3/ n A e -3/ co 3 d()/ = A Howeer, from he crcu (for ) by K: = 3 + d/ + d/ = 3 and d()/ = 3() () = = A = A = 6-3 The curren hen () 4e -3/ co e -3/ n 3 The econd erm conderably maller han he fr, a good approxmaon () 4e -3/ co 3 and he olage acro he nducor approxmaely () = d/ d/[4e -3/ co 3 ] -6e -3/ co n 3 In h expreon he fr erm conderably maller han he econd, o a good approxmaon () -4 3 e -3/ n 3. e u ealuae h formula he fr me he ne erm equal uny ha for = (/) -3 ec. Then we ge, () -4 3 e -3(/)-3/ -4 Alhough he alue of and gen n h example are praccal n naure, hey were ll choen o yeld compuaonal conenence. In a ypcal auomoble, he olage requred o produce a park acro he gap of a park plug beween 6 and.

30 EIAM4 haper: Second Order rcu Page -9 Exerce P -4 For he crcu n Fgure P -4, fnd () for all ()=-4+u() 6 7 H /4 F Fgure P -4 An: () = -4 + (5 + e -6 6e - )u() A P -5 For he crcu n Fgure P -5, fnd he zero ae repone () and () ()=u() H / F Fgure P -5 An: () = ( e - e - )u() A, () = e - u() P -6 For he crcu n Fgure P -6, fnd he zero ae ep repone (). F o o ()=u() /5 F Fgure P -6 An: () = [ - (5)/e - co(.464)]u()

31 EIAM4 haper: Second Order rcu Page - P -7.The wch n he crcu of Fgure P -7, cloed a me =. Deermne () and () for all. H 4 = F 4 Fgure P -7 An: For <: () = A and () = For >: (/)d/ + = and = (/4)d/ + (/)d/[(/4)d/ + ] + = (/8)d / + (/)d/ + = d / + 4d/ + 8 = = en n = 8 under damped wh d = r/ () = Ae - co + Be - n () = A = d/ = -Ae - co Ae - n Be - n +Be - co d()/ = -A+B bu ()=(/4)d()/ + () = (/4)d()/ + d()/ = -() + B= B= () = e - co + e n for > and d/ = 4e - co 4e - n 4e - n +4e - co = 8e - n () = (/4)d/ + = (/4)[ 8e - n] + e - co+e - n () = e - co for > P -8 The wch n he crcu of Fgure P -8, opened a me =. Deermne () and () for all. H F = Fgure P -8 An: For < : () = /A and () = For > : + d/ + = and = d/ d/ + d / + = d / + d/ + = = and n = crcally damped: () = + Ae - + Be - () = A = - d/ = -Ae - + Be - Be - d()/ = -A+B bu () = d()/ d()/ = ½ -A + B = ½ B = -½ [] () = e - ½e r > and = d/ = e - ½e - + ½e -

32 EIAM4 haper 3: Snuodal Analy Page 3-3. SINUSOIDA ANAYSIS 3. Tme Doman Analy The nuod an exremely mporan and ubquou funcon. To begn wh, he hape of ordnary houehold olage nuodal. onumer rado ranmon are eher amplude modulaon, n whch he amplude of a nuod changed, or frequency modulaon, n whch he frequency of a nuod changed. Snuod een occur n uble way, for a nonnuodal waeform (lke a awooh or pule ran) n eence ju he um of nuod. We are herefore now nereed o deermne he repone of a crcu o a regular nuodal npu. For a fr order crcu a lea, we could ue Equaon - o oban he oal oluon f a nuodal npu f(), appled o he npu a =. We wll howeer rerc ourele o a nuodal npu ha wa preen n he crcu for all me. The oal oluon for he repone, wll herefore only con of he forced (eady ae) componen and no ranen wll be preen. In h way we can hen relae our reul n he me doman, o ha n he frequency doman where we perform analy n a more mplfed manner ha aod he drec oluon of dfferenal equaon. Example 3- onder he nuodal crcu hown n Fgure 3-. Deermne he eady ae repone, () and () for h crcu. Snce = + and = ½d/, hen ½d/ + =, o ha d/ + =. d/ + = n.. () For any lnear crcu he forced repone mu be a nuod f he crcu dren by a nuodal gnal. For our example we herefore n ha he repone mu be of he form Aco( + ) (or An( + ) f we wh), reng he fac ha he repone may hae anoher amplude and phae angle a he npu gnal bu wll defnely be nuodal wh he ame frequency a he npu ( r/). In general, any funcon ha afe he dfferenal equaon (), wll be he requred eady ae repone. Fndng he eady ae oluon hould herefore be farly eay a we already know ha mu be of he form Aco( + ). When fndng he eady ae oluon for () from he dfferenal equaon (), we wll howeer prefer (h wll requre a lle b le manpulaon) he alernae bu equalen form o Aco( + ) namely: () = A co + A n. Subung () = A co + A n (and d/ = A n + A co) n he dfferenal equaon (), reul n, ( A + A )n + (A + A )co = n. () Equang coeffcen (ung he fac ha f Aco + Bn = co + Dn, hen A = and B = D) n equaon (), yeld he mulaneou equaon: A + A = and A + A = wh he oluon: A = 3 and A = 3. = 6n ol ½ F From Equaon - he ame reul for he forced repone - a a - e e f() = e e n = -3co+3n The eady ae olage hen: () = A co + A n = 3co + 3n. Fgure 3-

33 Therefore () n he form: () = Aco + Bn = co( ), where =, = (A +B ), = an - (B/A), A = 3 and B = + 3. Thu = (A +B ) = 3/4 B = +3 = (3 + 3 ) /4 +3 A = -3 -/4 = ( 9) = 3-3 and = an - (B/A) = an - (+3/ 3) = 3/4 (ee kech). Some calculaor may erroneouly calculae: an - (+3/ 3) a an - ( 3/+3) = /4. The correc angle may ll be obaned wh: = /4 +. () = 3co( 3/4) ol. EIAM4 haper 3: Snuodal Analy Page 3- Ueful rgonomerc dene: Aco + Bn = (A +B )co[ an - (B/A)] = (A +B )n[ + an - (A/B)] co = n( + /) n = co( /) co = co( + ) add o n = n( + ) change gn n(a + B) = nacob + coanb co(a + B) = coacob nanb The eady ae curren : () = ½d/ = ½ (6n + 6co) = 3n + 3co. () = 3co( /4) amp. ( or () = ½d/(3co( 3/4)) = 3n( 3/4) ) (() and () may alo be expreed a () = 3n( /4) and () = 3n( + /4)). () = 6n () = 3n( + /4) (capace curren () leadng upply olage () by 45, and olage () acro capacor, by 9, a hould.) Fgure 3- () = 3n( /4) Example 3- onder he econd order crcu n Fgure 3-3. Deermne he repone () and (). 5/3 5 H () = 7co3 ol = (5/3) + 5d/ + and = (/5)d/ 7co3 = (5/3)[(/5)d/] + (/5)d / + d /d + (/3)d/ + 5 = 85co3 The forced repone ha he form: () =A co3 + A n3. ( 4A + A )co3 + ( A 4A )n3 = 85co3, yeldng: 4A + A = 85 and A 4A =, wh he oluon: A = and A = 5. () = co3 + 5n3 =.6co(3.89). And () = (/5)d/ =.474n(3.89) {() may alo be expreed a: /5 F Fgure 3-3 an ( 5/+) =.5 () =.474co(3.89 /) =.474co( ) =.474co( ) =.474co(3.3) (add o change gn) } orrec we are lookng for an (+5/ ) =.5 + (or ) =.89 (or 3.39) +5 alculaor ge a

34 EIAM4 haper 3: Snuodal Analy Page Frequency Doman Analy Gen a lnear crcu whoe npu he nuod Aco(+), he forced repone a nuod of frequency, ay Bco(+). If he npu delayed by 9, ha, f he npu An(+), hen by he me-narance propery, he correpondng repone Bn(+). Furhermore, f he npu caled by a conan K, hen by he propery of lneary, o wll be he repone; ha, he repone o KAn(+) KBn(+). Agan by lneary, he repone o: Aco( + ) + KAn( + ), Bco( + ) + KBn( + ). onder now he pecal cae ha he conan K = - = j. Thu he repone o: Aco( + ) + jan( + ) = Ae j(+), Bco( + ) + jbn( + ) = Be j(+). We herefore ee ha wheher we wh o fnd he repone Bco(+) or Be j(+) o he excaon Aco(+) or Ae j(+), we mu deermne he ame wo conan B and. In Example 3- we hae found he repone o he real nuod Aco(+). In he nex example we wll fnd he repone o he complex nuod Ae j(+). (Noe: I he conenon o aocae he real nuod Aco(+) wh he complex nuod Ae j(+), when conerng beween real and complex nuod. Alhough wa conenen o ue he more famlar ne wae for comparon n Fgure 3-, we wll from now on alo adop h rule and alway prefer o ue he cone funcon a reference, n faour of he ne funcon. I herefore mporan o change a real nuodal gnal no he forma Aco( + ) before conerng o he complex nuod Ae j(+) and lkewe, a complex nuod Ae j(+) mu be underood o repreen a real cone gnal Aco( + ).) Example 3-3 econder he crcu n Example 3- (redrawn agan n Fgure 3-4). We hae already een ha d/ + = and ha f he npu () = 6n = 6co( /) (nng on he forma Aco( + ) ) hen he forced repone of he form () = Bco( + ). Euler rule: If y = co + jn ( y() = ) hen dy/d = n + jco = j n + jco = j(co + jn) dy/d = jy or dy/d jy = Soluon: y = Ke j. Bu y() = y = e j e j = co + jn Ae j = Aco + jan = A Now, nead of ung 6co( /), we wll ue () = 6e j( /) a he npu and nead of Bco( + ), we wll ue () = Be j( + ) a he forced repone. eplacng () wh Be j( + ) and () wh Be j( + ) n he aboe dfferenal equaon, yeld: d/(be j( + ) ) + (Be j( + ) ) = e j( /) jbe j( + ) + Be j( + ) = e j( /). jbe j e j + Be j e j = e j/ e j ( e (a+b) = e a e b ) jbe j + Be j = e j/. ( ddng by e j ) (In he preou ep we dded boh de by e j whch mean ha we cancelled ou me and frequency, hereby ranformng he nuodal (ac) problem no a phaor problem. Th really he eence of phaor analy, dcued n he nex econ.) jbe j + Be j = 6e j/ (j + )Be j = 6e j/ Be j = 6e j/ /(j + ) j( /) = 6e Fgure 3-4 ½ F

35 EIAM4 haper 3: Snuodal Analy Page 3-4 Be j = (6 /)/(/4) = (6/) 3/4 = (3) 3/4 = 3e j3/4. Be j = 3e j3/4 whch mean ha B = 3 and = 3/4. We conclude herefore ha he repone o () = 6e j( /) () = 3e j( 3/4), and herefore, he repone o () = 6co( /) (or a wa gen, () = 6n), () = Bco( + ) = 3co( 3/4) ( compare wh Example 3- ) Phaor Im Ae j(+) Ju a he nuod Aco(+) ha frequency, amplude A and phae angle, we can ay ha he complex nuod, A Ae j(+) = Ae j e j (a roang ecor) + alo ha frequency, amplude A, and phae angle. e u denoe he complex number A = Ae j by A = A whch a Aco(+) e ac ecor (no roang) and known a he phaor repreenaon of he real (Aco(+)) or complex (Ae j(+) ) nuod. The phaor preere he eenal nformaon (A and ), of he nuod bu dcard frequency and me (e j ). Ung phaor o repreen nuodal quane, open he pobly o ole problem n he frequency doman by hdng frequency and me n he background, and ung only complex algebra o ole he crcu n nearly a ac dc-lke manner. Noe: I cuomary o repreen me aryng nuod wh mall leer (for example ()) and phaor wh bold capal leer ( for example). onder a reor wh a complex nuod olage = e j+) acro. The curren ha flow hrough wll hen alo be a complex nuod ay = Ie j(+). By Ohm law, = e j(+) = Ie j(+) e j e j = Ie j e j e j = Ie j (ddng by e j ). Thu, we hae he phaor equaon: = I, where = and I = I. For a reor, of coure, he olage and curren are n phae (Z = ) and =, a mpled by = I. (If 3 = hen = 3.) Smlarly for an nducor, f = e j(+) and = Ie j(+), hen d = e j(+) d = (Ie j(+) ) e j(+) = jie j(+) e j e j = jie j e j. e j = jie j, and ung phaor form: = ji, where = and I = I. Becaue = ji, he angle of mu be equal o he angle of ji. angle() = angle(/ I) = angle(i(/ + )) = + /. Thu we ee ha for an nducor, he curren lag he olage by 9 and from = ji, Z = /I = / r = 9. For a capacor, f = e j(+) and = Ie j(+), hen d = Ie j(+) d = (e j(+) ) Ie j(+) = je j(+) Ie j e j = je j e j. Ie j = je j, and ung phaor form: I = j, where I = I and =. Becaue I = j, he angle of I mu be equal o he angle of j. ang(i) = ang(/ ) = ang((/ + )) = + /. We deduce herefore ha for a capacor, he curren lead he olage by 9 and from I = j, Z = /I = /j = // = (/)/ r = (/) 9.

36 EIAM4 haper 3: Snuodal Analy Page 3-5 Example 3-4 econder he crcu for Example 3- (redrawn agan n Fgure 3-5). Ue phaor o ole for and I. = 7 = 3 ( = 7co(3 r )) 5/3 j=j5 = 59 /j=5/j3 = 5/3-9 K: = (5/3) I + 59 I + (5/3) 9 I = ( ] I 7 = ( ) I I = 7/ = amp. and = = ol. { (() =.474co(3.36 r ) and () =.6co(3.897 r )} Example 3-5 For he crcu n Fgure 3-6, he frequency doman repreenaon hown. alculae he phaor o, and from o, conruc he me doman oluon o (). I Fgure 3-5 /9 F -j3/ = o 3 N M o 8co6 (=6r/) 8 =6 r/ (f=.9549hz) Tme doman Fgure 3-6 Frequency doman By K a node N: ( 8)/3 + ( )/ + ( o )/.5 9 = ( ) o.667 = ( ) (.66679) o = () By K a node M: ( )/ + ( o )/ = = o / () Subung from () n (): ( ) o (.66679) o =.667 (. 3.7) o =.667 o =.93.7 ol Therefore () =.9co( r ) ol π radan = degree 8 (Noe: Traonally, phaor angle are expreed n degree. For he me expreon aboe, we had o coner 3.7 o.59 rad, becaue he frequency 6 rad/ec. and he angle 6 n () aboe, herefore really an angle n radan. Neerhele, he cuom o upply he angle n he me expreon n radan and preenng an angle a = r + 3, would be aburd (ju ry o fnd co(rad + 3) wh your calculaor). Alo wh phaor analy, he frequency may be gen n Hz, and f o, wll hae o be conered o rad/ec. o form he me expreon. A a fnal noe, for mplcy we aumed ha he magnude of he phaor.93.7 wa equal o he peak alue of he nuodal expreon.9co(6+.59). Wh phaor, he normal pracce acually o ue he rm alue a he phaor magnude.)

37 EIAM4 haper 3: Snuodal Analy Page 3-6 Example 3-6 efer o he crcu n Fgure 3-7. a) Fnd he eady ae repone () and () n he me doman, olng he dfferenal equaon for and, ung he real nuod. 3 =.8co + 9.6n Fgure 3-7 H b) Fnd he eady ae repone () and () n he me doman, olng he dfferenal equaon for and, ung he complex nuod. c) Ue phaor n he frequency doman o calculae I and. a) K: = 3 + d/ d/ + (3/) = / d/ + (3/) =.4co + 4.8n The forced repone ha he form: () =A co + A n 3 =.8co + 9.6n H A n + A co + (3/)A co + (3/)A n =.4co + 4.8n [(3/)A + A ]co + [ A + (3/)A ]n =.4co + 4.8n (3/)A + A =.4 3A + 4A =.8 A =. A + (3/)A = 4.8 4A + 3A = 9.6 A =.6 () =.co +.6n ampere = ((-.) +.6 ))co[ an - ( +.6/.)] = (. +.6 )co[ ( +.43 r )] = co( ( +.43 r )) +.6 () = co(.43 r ) ampere (phaor I = 6.87 amp) And () = d/ = d/(.co +.6n) () = (+.4n + 3.co) () = 6.4co + 4.8n = ( )co[ an - ( + 4.8/ + 6.4)] = 8co( ( r )) () = 8co(.6435 r ) ol (phaor = ol) b) =.8co + 9.6n = co( an - (+9.6/+.8)) = co( ( +.87 r )) = co(.87 r ). The complex nuod ha correpond o he real nuod co(.87 r ) herefore e j(.87). (phaor = ol) an - ( +.6/.) = = +.43 r.973 (calculaor alue) an - ( + 4.8/ +6.4) = r an - ( +9.6/+.8) = +.87 r

38 We already know ha, d/ + (3/) = /. Wh of he form, = e j(.87). The forced repone () mu hae he form: () = Be j( + ). EIAM4 haper 3: Snuodal Analy Page 3-7 Subung he repone () and he upply olage no he dfferenal equaon d/ + (3/) = /, yeld: jbe j( + ) + (3/)Be j( + ) = e j(.87) / = 5e j(.87). jbe j e j + (3/)Be j e j = 5e j.87 e j jbe j + (3/)Be j = 5e j.87 [j + (3/)]Be j = 5.87 r (ddng by e j ) Be j = 5.87/[(3/) + j] = 5.87/ Be j =.43 = e j.43. So f Be j = e j.43 hen B = and =.43 () = e j(.43) amp aocaed wh () = co(.43 r ) a expeced. and () = d/ = d/[e j(.43) ] = [j4e j(.43) ] = j8e j(.43). Bu j = (/) () = (/) 8e j(.43) = e j(/) 8e j(.43). () = 8e j(.43 + /) = 8e j(.6435) ol. aocaed wh () = 8co(.6435 r ) a expeced. c) We hae already een n he preou econ ha, =.8co + 9.6n = co(.87 r ). The phaor repreenaon of herefore =.87 r = Z = = I = 73.74/553.3 = 6.87 ampere. And = = ol. 3 = I 49 I eay o reconruc () and () from he phaor I and f he frequency known o be rad/ec. and all he phaor lengh repreen peak alue raher han he rm alue of he correpondng nuodal gnal. I = 6.87 A () = co(.4 r ) ampere. = () = 8co(.6435 r ) ol. 3 j(.87) = e H j = / = e j(/) Summary of reul obaned wh hree echnque Phaordagram 3 I 6.87 A e j(.43) A co(.43 r ) A I e j(.87) co(.87 r ) e j(.6435) 8co(.6435 r )

39 Example 3-7 efer o he crcu n Fgure 3-8. a) Ue frequency doman analy o fnd o (). b) Fnd he mpedance een by he olage ource EIAM4 haper 3: Snuodal Analy Page 3-8 F Fgure 3-8 =3co5 F o N M. 9 = 3 = 3. 9 a) K a node N: (3 )/ = ( )/ + ( )/ (3 ) =. 9 ( ) + ( ).6 9 (. 9) = (. 9) (. 9) + (. 9 + ) = ( ).6 9 = (.77.8/..3) (.6 9/..3) = () K a node M: ( )/ = / ( ) =. 9 = ( +. 9) = (..3/. 9) = () () n (): = ( ) = = /

40 EIAM4 haper 3: Snuodal Analy Page 3-9 = () =.53co(5.747 r ) ol. b) From (): = = = ol I = ( )/ =.94.3 amp Z n = /I = 3/.94.3 =..3 = j. I = 3 Example 3-8 The upply olage o he crcu n Fgure 3-9, gen by () = co. a) Deermne he me doman oluon for he eady ae curren repone, (), by wrng down and olng a dfferenal equaon for (). Ge your anwer n he form Aco( + ). b) Ue frequency doman analy o deermne he phaor curren I. econruc () agan from he phaor curren I. = co F H = co ( + r ) = Fgure 3-9 a) c = d c / + en c = d/ d/ = d / + d / + d/ + / = (/)co = Aco + Bn, d/ = An + Bco en d / = Aco Bn -Aco Bn An +Bco + (A/)co + (B/)n = (/)co [B A/]co + [ A B/]n = (/)co A = -/5 en B = /5 () = (/5)co + (/5)n =.447co(.344) b) Z = + ( j//j) = j = I = / = A I = [ j/( j + j)] = ( 9/9) A = A () =.447co(.344) A

41 EIAM4 haper 3: Snuodal Analy Page 3- Exerce 3- Ung me doman analy, fnd he eady ae repone () and () for he crcu n Fgure P 3-. =5co4 A 3 (/) F (/8) H Fgure P 3- An: () = 3n4, () = 5co4 3- efer o he crcu n Fgure P 3-. a) Ue frequency doman analy (phaor analy) o fnd o (). b) Deermne he mpedance een by he olage ource. = 8co 3 H F o Fgure P 3- An: a) co( /) b) 3. + j For he crcu n Fgure P 3-3, fnd he phaor curren I and I. {an I = A, I = } I 5 3 Z Z = 78 j45 Z 5 9 Z I Fgure P 3-3

42 EIAM4 haper 4: eonance Page 4-4. ESONANE 4. Sere eonance onder he ere crcu n Fgure 4-. I The mpedance een by he ource, : Z = + j + j Fgure 4- Z = + j ohm We ay ha a crcu wh a lea one capacor and one nducor n reonance or reonan when he magnary par of mpedance (or admance) equal o zero. The crcu n fgure 4- herefore n reonance when = = Th parcular frequency called he reonan frequency r. A he reonan frequency he mpedance wll reach mnmum alue Z r =, and he curren maxmum alue of /. A plo of I eru hown n Fgure 4-. / I / r Fgure 4-

43 EIAM4 haper 4: eonance Page 4- A he frequence and, he magnude of he curren / of maxmum alue and he power dpaed n herefore half he power dpaed a reonance. The frequence and are called he half power frequence and we defne he bandwh BW of he reonan crcu by BW = Noe ha he maller he bandwh BW, he harper or narrower he amplude repone. Anoher quany ha decrbe he harpne of he frequency repone cure, he qualy facor Q, whch defned a he reonance frequency o be maxmum energy ored Q = oal energy lo n a perod For he ere reonan crcu n Fgure 4-, uppoe ha he olage ource gen by ()=co r. A reonance he mpedance a pure reor o ha ()=(/)co r. Alhough he poron n he crcu ac a a hor crcu, he nddual olage acro and are no zero, hey only add up o zero a each nan. The olage acro he capacor n parcular, c () = (()/)n r (remember ha c = IX c = (/)(/ r ) = ()/ and ha he capacor curren lead he capacor olage by 9). The energy ored n he nducor ½ = (½ / )co and he energy ored n he capacor ½ c = ½(()/) n r = (½ / )n r. The oal energy ored n he nducor and he capacor a any nan hen (½ / )co + (½ / )n r = (½ / ), whch a conan. The r.m.. curren hrough he reor (/)/ and he power aborbed by he reor P = ((/)/) = /, and he energy lo n one perod ( /)T = ( /)(/ r ) = / r. Thu he qualy facor of he crcu ½ / Q = = r / r Snce r = / r, alernaely we can wre Q = r = r = To relae he qualy facor o he bandwh, we noe ha a he half power frequence and, he curren dropped o / he maxmum a reonance whch mple ha he magnude of he mpedance mu hae ncreaed o me mnmum alue of a reonance. Thu a he half power frequence = =

44 EIAM4 haper 4: eonance Page 4-3 = = + Equaon 4- and = - Equaon 4- Equaon 4- a quadrac equaon wh a poe and negae oluon and o Equaon 4-. The wo negae alue are mply mrror mage of he poe alue and are of no phycal gnfcance. The wo poe alue of nere are = from equaon 4- and = from equaon 4- The bandwh hen gen by BW = = = r, from Q = r. Q Anoher ueful relaon nolng and ha may ealy be deduced from he aboe expreon for and, = = r Example 4- For he crcu n Fgure 4-, = mh, =5 F and he bandwh requred o be r/. a) alculae he alue of b) Deermne he half power frequence and. c) alculae he qualy facor Q d) Deermne he curren n he crcu a reonance and a he half power frequence f he upply olage gen by n r a) BW=/ =BW = e-3 = b) r = / = /e-35e-6 = r/ - =...() =...() From () = 4/ ubue n () 4/ - = + 4 = = 56. r/ and from () = 56. r/ c) Q = r / = e-3/ = d) Take he upply olage a reference: = A reonance: Z = +j( /) =

45 EIAM4 haper 4: eonance Page 4-4 I = /Z = / = A A = 56. r/: Z = +j( /) = +j(56.e-3 /56.5e-6) Z = j.9988 = I = /Z = / = A A = 56. r/. Z = +j( /) = +j(56.e-3 /56.5e-6) Z = +.7 = I = /Z = / = A 4. Parallel eonance e u now conder he cae of a parallel crcu a hown n Fgure 4-3. I Fgure 4-3 The admance een by he curren ource Y = Y + Y + Y = j = j - emen j For reonance: - = r = A he reonan frequency he admance wll reach mnmum alue Y r = /, and he olage = I/Y, maxmum alue of I. A plo of eru hown n Fgure 4-4. I I r Fgure 4-4

46 EIAM4 haper 4: eonance Page 4-5 A for he ere reonance crcu, he bandwh gen by: BW = Smlar alo o he ere reonance crcu, we hae for he qualy facor of he parallel reonan crcu: Q = r = r = A he half power frequence, he admance mu ncreae o me mnmum alue of / a reonance, o ha = From h he half power frequence may be obaned a = and = The bandwh hen gen by BW = = = r, from Q = r. Q Agan and are relaed by = = r Example 4- The amplude of he nuodal curren ource n he crcu n fgure ma. The crcu parameer are = k, = 4 mh, and =.5 F. a) Fnd r, Q,, and he amplude of he oupu olage a r, and. b) Wha alue of wll produce a bandwh of 5 r/? c) Wha he alue of Q n par b) a) r = = = krad/ 4e - 3.5e - 6 Q = r = (e3)()(.5e-6) = 5 BW = r /Q = e3/5 = r/ =...() - =...() From () and (): = r/ and = 49.9 r/ m ( r ) = I m = 5e-3 = m ( ) = m ( ) = m ( r )/ = 7.7 b) BW = / 5 = /(.5e-6) = 8 c) Q = r /BW = /5 =

47 EIAM4 haper 4: eonance Page Adonal eonance rcu onder he more realc ere-parallel rucure n Fgure 4-5. I g Fgure 4-5 The admance of he crcu gen by: Y = / g + j + /( + j) = / g + j + ( j)/( + ) = [/ g + /( + )] +j[ /( + )] For reonance: /( + ) = + = /...() = (/ )/ = / (/) r = A reonance hen he admance a pure conducance Y r = / g + /( + ) = / g + / ee equaon () Th expreon for Y r already hn on he dea ha a reonance, we may conder he econ a a reor wh alue /. To proceed wh analy of he crcu n Fgure 4-5, we mu mplfy and our raegy wll be o approxmae he crcu n Fgure 4-5 wh a mple parallel rucure mlar o he crcu n Fgure 4-3. onder he ere and parallel econ n Fgure 4-6. P P Fgure 4-6 Our nenon now o fnd alue for P and P n order o force he parallel

48 EIAM4 haper 4: eonance Page 4-7 rucure o be equalen (n an mpedance ene) o he ere rucure. Th wll only be poble a one frequency. If we dere o make her admance equal a a ceran frequency, hen we mu hae: j j P P j j ( ) P P ( ) ( ) Thu and P P If we now aume ha he ere econ n fac he econ of he reonan crcu n Fgure 4-5 and ha he nernal reance of a hgh qualy col, ha f Q=/ ery large whch mple ha much maller han, or ha +() (), hen we hae he approxmae relaon and ( ) P P from Equaon () f we e / The parallel rucure ha approxmae he crcu of Fgure 4-5, gen n Fgure 4-7. I g Fgure 4-7 Example 4-3 For he crcu n Fgure 4-5 aume ha g =, =., =. H and =. F. alculae r, Q and BW of he crcu.. r = = = 9.95 r/ ( r.... P = = = and P // g = // = Q = BW = r 995 = Q = 9.9. =.5 r/ = r/)

49 EIAM4 haper 4: eonance Page 4-8 Example 4-4 efer o he crcu n Fgure 4-8 Z F Y H F Fgure 4-8 a) Deermne an expreon for he mpedance Z of he crcu. b) Deermne an expreon for he admance Y of he crcu. c) alculae he reonance frequency of he crcu from he perpece ha he mpedance mu become real. d) alculae he reonance frequency of he crcu from he perpece ha he admance mu become real. (Noe: For conenence we wll ue he noaon AB o ndcae ha elemen A n ere wh elemen B, and he noaon A//B o mean elemen A n parallel wh elemen B.) a) Z = Z a Z b Z a = Z b = /j Z c = j Z d = /j Z Z = Z c //Z d Z = Z a Z b = Z a + Z b = + /j = ( + j)/j ;alo Z = j(/) Z = Z c //Z d /Z = /Z c + /Z d Z = Z c Z d /(Z c +Z d ) ;only for wo // mpedance Z = (j)(/j)/[j + (/j)] = /[j + (/j)] = j/( ) Z = Z Z = Z + Z = j(/) + j/( ) = + j[/( ) (/)] Z = + j{( )/[( )]} ohm b) Y = Y a Y b Y a = Y b = j Y c = /j Y d = j Y Y = Y c //Y d

50 EIAM4 haper 4: eonance Page 4-9 Y = Y a Y b /Y = /Y a + /Y b Y = Y a Y b /(Y a +Y b ) ;only for wo admance Y = (j)/( + j) = j/(+j) ;of coure Y = /Z Y = Y c //Y d = Y c + Y d = (/j) + j = ( )/j ;agan Y = /Z Y = Y Y /Y = /Y + /Y Y = Y Y /(Y +Y ) = {[j/( + j)][( )/j]}/{[(j/( + j)] + [( )/j]} = [( )/( + j)]/{[(j) + ( + j)( )]/[j( + j)]} = [( )/( + j)]{[j( + j)]/[(j) + ( + j)( )]} = [j( )]/[( ) + j( ] = {j( )[( ) j( ]}/[( ) + ( ) ] Y = [ ( ) + j( )( )]/( ) emen (From Z = + j{( )/[( )]}: Z = [( ) + j( )]/( ) /Z = ( )/[( ) + j( )] = ( )/[( ) j( )] = {( )[( ) + j( )]}/{[( )] + ( ) } = [ ( ) + j( )( )]/[ ( + 4 ) ] = [ ( ) + j( )( )]/[ ] = Y ;a expeced) c) For Im{Z} o anh: = =.77 rad./ec. d) For Im{Y} o anh: = or = = rad/ec. =.77 rad/ec

51 EIAM4 haper 4: eonance Page 4- Exerce P 4- Fnd he reonance frequency for each of he crcu hown n Fgure P 4- (a) (b) (c) Fgure P 4- An (a) r = P 4- Gen he praccal ank crcu n Fgure P 4-, f = 5, = 5 mh, and =.5 F, approxmae h crcu by a parallel crcu. Wha he qualy facor of he parallel crcu? Fgure P 4- An: 63. P 4-3 Fnd he qualy facor for he crcu n Fgure P (/6) F 4 H Fgure P 4-3

52 EIAM4 haper 5: aplace Nework Analy Page 5-5. APAE NETWOK ANAYSIS 5. The aplace Tranform Gen a funcon f(), we defne aplace ranform, [f()], o be [f()] = F() = f()e. Example 5- u() = for [u()] = e = e If we accep ha e - = and e =, = e e hen: e = =,. [u()] = and: e = =. =. Example 5- u() = for [ e a u()] = e a e = e (a) = e ( a) a [e a u()] = e a e = [ ] a = a a Example 5-3 e - = and e = j [n u()] = e e j Euler rule: u() = [e j u()] [e j u()] jθ -jθ e e j j j co = Bu ung, [e a jθ -jθ u()] = /(+a) from Example 5-, n = e e j j [n u()] = = j j j j j = ( j j Example 5-4 [ e j j a co u()] = e e e a u() = (a j (a j e u() e u() Ung agan, [(e a )u()] ( a j) ( a j) = /( + a), hen = = a j a j [(e (a j) )u()] [( a) j][( a) j] = /[ + (a j)], a a [(e (a + j) )u()] = ( a) = = /[ + (a + j)] ( a) Example 5-5 (h example llurae he lneary propery of he aplace ranform) [f () + f ()] = [f () f ()]e = f ()e + f ()e = [f ()] + [f ()] And alo [Kf()] = Kf()e = K f()e = K[f()]

53 In he nex example we wll ue he negraon by par rule and a reul from he he heory of lm Example 5-6 [u()] = e = ( ) (e ) = m Example 5-7 df() EIAM4 haper 5: aplace Nework Analy Page 5- = [ ( ) ] + e = + () e ( ) e e = [ ] = df() e = f()e f() e = [ f()] + f()e = f() + f()e. Bu f()e, per defnon equal o [f()]. df() df() Therefore = [f()] f() or = F() f(). Alo, f g() = f(), hen df() preou reul, Bu e - = m e - = m f()e- = for well behaed f() dg() = f(), g() = f() [f()] f() = g() : : b f()g() = a m e f() e dg() = f() and g() = f() =. Applyng he dg() = [f()] f(), o g(), hen = [g()] g(). and g() = o ha [f()] = Example 5-8 (an mporan reul) [Ae a co( + )u()] = j( e j( Ae a e f(). u() = A e a e j( u() ea e j( u() e j e (a j u() e j e (a j u() = A e j e j a j a j = A = A a j A a j b a a b f() g() df() g(),. (alculae e for =, 5, and, and ee how quckly e goe o zero for large.) f() g() f() g() df()/ g() g() f() g() df()/ =

54 EIAM4 haper 5: aplace Nework Analy Page 5-3 Table - A l of ome mporan aplace ranform. f() df() F() = [f()] = f()e F() f() d f() f() F() f() F() df() () u() e a u() u() a e a u() ( a) n u() co u() e a n u() ( a) e a co u() a ( a) Ae a co( + )u() a j A a j

55 EIAM4 haper 5: aplace Nework Analy Page The Inere aplace Tranform and Paral Fracon The general procedure o fnd he nere ranform f() = - [F()], from he aplace ranform F(), o expand F() no paral fracon and hen ue Table - o deermne f(). The mehod of paral fracon may be appled o fracon of whch he order of he numeraor le han he order of he denomnaor. Alo f F() = KF (), hen f() = K - [F ()], o a common facor K may be facored ou of F() and he problem reduced o fndng only he nere of F (). e u conder ome example. Example 5-9 (dnc real facor) Deermne he oluon of he dfferenal equaon: d x() dx() 3 x() 4e 3 u(), dx() ubjec o he nal conon x() = and =. Takng he aplace ranform on boh de of he equaon, reul n he algebrac equaon dx() 4 X() x() + 3[X() x()] + X() = 3 4 X() ( ) + 3[X() ] + X() = 3 ( )X() = = 4 ( 3) 5( 3) = X() = 9 ( = 9 A = 3 )( 3) ( )( )( 3) + B + 3, Where A = 9 = 5, + = ( )( )( 3) B = and = 9 ( )( )( 3) 9 ( )( )( 3) 5 X() = = 5 = + = + 3 = x() = 5e u() 5e u() + e 3 u() = (5e 5e + e 3 )u() In he nex wo example we wll demonrae ome echnque for fndng he nere ranform of a funcon wh complex econd order facor. The ranform par eablhed n Example 5-8 ery ueful n h regard and he mo raghforward and relable mehod, o organe he paral fracon n a form, ready o apply h ranform par. Unforunaely alway nole calculaon wh complex number whch could be lenghy and cumberome.

56 EIAM4 haper 5: aplace Nework Analy Page 5-5 Example 5- (complex facor) Fnd he nere aplace ranform f(), of he funcon F() = ( + )/[( + + 3)]. We could ulze wo mehod o fnd f(). ecommended mehod: (ung he fnal enry n Table - o handle complex roo) To fnd he facor of + +3, ole from = = + j.44 = = = j.44 = = Therefore: (.73.86)(.73.86) = = F() = ( 3) = (.73.86)(.73.86) A B B* = = A = (.73.86)(.73.86) B = F() = (.73.86)(.73.86) = (.73.86) j.44 j.44 = = f() =.3333u() e co( )u() = [ e co( )]u() =.3333 (Noe: Afer fndng A and B, F() may alo be pu n he form: F() = (.73.86) (.73.86) = (.73.86)(.73.86) = = The coeffcen of mu be one. If no, he coeffcen mu be facored ou a a common facor of F(). oo n polar form, are perhap more conenen a h age. Noe: The fr roo = +j.44 wll be mporan o u and alway locaed n he econd quadran. B * = r he conjugae of B = r. Therefore only B ha o be calculaed. Wha arace abou h mehod, ha n prncple he ame a he procedure wh real roo. oo mu now be n recangular form wh he focu on he j erm, n order o ue he fnal ranform par n Table -, effcenly. If he +j erm ued, alo ok becaue co( ) = co( ) /3 ( ) ( ) (.73.86)(.73.86) = = ( ) = ; compare wh nex mehod) 3 3

2/20/2013. EE 101 Midterm 2 Review

2/20/2013. EE 101 Midterm 2 Review //3 EE Mderm eew //3 Volage-mplfer Model The npu ressance s he equalen ressance see when lookng no he npu ermnals of he amplfer. o s he oupu ressance. I causes he oupu olage o decrease as he load ressance

More information

Control Systems. Mathematical Modeling of Control Systems.

Control Systems. Mathematical Modeling of Control Systems. Conrol Syem Mahemacal Modelng of Conrol Syem chbum@eoulech.ac.kr Oulne Mahemacal model and model ype. Tranfer funcon model Syem pole and zero Chbum Lee -Seoulech Conrol Syem Mahemacal Model Model are key

More information

Chapter 6: AC Circuits

Chapter 6: AC Circuits Chaper 6: AC Crcus Chaper 6: Oulne Phasors and he AC Seady Sae AC Crcus A sable, lnear crcu operang n he seady sae wh snusodal excaon (.e., snusodal seady sae. Complee response forced response naural response.

More information

10. A.C CIRCUITS. Theoretically current grows to maximum value after infinite time. But practically it grows to maximum after 5τ. Decay of current :

10. A.C CIRCUITS. Theoretically current grows to maximum value after infinite time. But practically it grows to maximum after 5τ. Decay of current : . A. IUITS Synopss : GOWTH OF UNT IN IUIT : d. When swch S s closed a =; = d. A me, curren = e 3. The consan / has dmensons of me and s called he nducve me consan ( τ ) of he crcu. 4. = τ; =.63, n one

More information

A capacitor consists of two conducting plates, separated by an insulator. Conduction plates: e.g., Aluminum foil Insulator: air, mica, ceramic, etc

A capacitor consists of two conducting plates, separated by an insulator. Conduction plates: e.g., Aluminum foil Insulator: air, mica, ceramic, etc 3//7 haper 6 apacors and Inducors Makng preparaon for dynamc crcus, whch hae far more applcaons han he sac crcus we hae learned so far. 6. apacors Sore energy n elecrc feld nsulaor onducng plaes A capacor

More information

Solution in semi infinite diffusion couples (error function analysis)

Solution in semi infinite diffusion couples (error function analysis) Soluon n sem nfne dffuson couples (error funcon analyss) Le us consder now he sem nfne dffuson couple of wo blocks wh concenraon of and I means ha, n a A- bnary sysem, s bondng beween wo blocks made of

More information

Chapter 5. Circuit Theorems

Chapter 5. Circuit Theorems Chaper 5 Crcu Theorems Source Transformaons eplace a olage source and seres ressor by a curren and parallel ressor Fgure 5.-1 (a) A nondeal olage source. (b) A nondeal curren source. (c) Crcu B-conneced

More information

(,,, ) (,,, ). In addition, there are three other consumers, -2, -1, and 0. Consumer -2 has the utility function

(,,, ) (,,, ). In addition, there are three other consumers, -2, -1, and 0. Consumer -2 has the utility function MACROECONOMIC THEORY T J KEHOE ECON 87 SPRING 5 PROBLEM SET # Conder an overlappng generaon economy le ha n queon 5 on problem e n whch conumer lve for perod The uly funcon of he conumer born n perod,

More information

Chapter 7 AC Power and Three-Phase Circuits

Chapter 7 AC Power and Three-Phase Circuits Chaper 7 AC ower and Three-hae Crcu Chaper 7: Oulne eance eacance eal power eacve power ower n AC Crcu ower and Energy Gven nananeou power p, he oal energy w ranferred o a load beween and : w p d The average

More information

Cooling of a hot metal forging. , dt dt

Cooling of a hot metal forging. , dt dt Tranen Conducon Uneady Analy - Lumped Thermal Capacy Model Performed when; Hea ranfer whn a yem produced a unform emperaure drbuon n he yem (mall emperaure graden). The emperaure change whn he yem condered

More information

ELEC 201 Electric Circuit Analysis I Lecture 9(a) RLC Circuits: Introduction

ELEC 201 Electric Circuit Analysis I Lecture 9(a) RLC Circuits: Introduction //6 All le courey of Dr. Gregory J. Mazzaro EE Elecrc rcu Analy I ecure 9(a) rcu: Inroucon THE ITADE, THE MIITAY OEGE OF SOUTH AOINA 7 Moulre Sree, harleon, S 949 V Sere rcu: Analog Dcoery _ 5 Ω pf eq

More information

A. Inventory model. Why are we interested in it? What do we really study in such cases.

A. Inventory model. Why are we interested in it? What do we really study in such cases. Some general yem model.. Inenory model. Why are we nereed n? Wha do we really udy n uch cae. General raegy of machng wo dmlar procee, ay, machng a fa proce wh a low one. We need an nenory or a buffer or

More information

( ) () we define the interaction representation by the unitary transformation () = ()

( ) () we define the interaction representation by the unitary transformation () = () Hgher Order Perurbaon Theory Mchael Fowler 3/7/6 The neracon Represenaon Recall ha n he frs par of hs course sequence, we dscussed he chrödnger and Hesenberg represenaons of quanum mechancs here n he chrödnger

More information

Chapter Lagrangian Interpolation

Chapter Lagrangian Interpolation Chaper 5.4 agrangan Inerpolaon Afer readng hs chaper you should be able o:. dere agrangan mehod of nerpolaon. sole problems usng agrangan mehod of nerpolaon and. use agrangan nerpolans o fnd deraes and

More information

6.302 Feedback Systems Recitation : Phase-locked Loops Prof. Joel L. Dawson

6.302 Feedback Systems Recitation : Phase-locked Loops Prof. Joel L. Dawson 6.32 Feedback Syem Phae-locked loop are a foundaional building block for analog circui deign, paricularly for communicaion circui. They provide a good example yem for hi cla becaue hey are an excellen

More information

Fundamentals of PLLs (I)

Fundamentals of PLLs (I) Phae-Locked Loop Fundamenal of PLL (I) Chng-Yuan Yang Naonal Chung-Hng Unvery Deparmen of Elecrcal Engneerng Why phae-lock? - Jer Supreon - Frequency Synhe T T + 1 - Skew Reducon T + 2 T + 3 PLL fou =

More information

A new topology for quasi-z-source inverter

A new topology for quasi-z-source inverter pp.: A new opology or qua-z-ource nerer Negar Mrkazeman, Ebrahm Babae Elecrcal Engneerng Deparmen, Shabear Branch, Ilamc Azad Unery, Shabear, Iran, Emal:negarmrkazeman@auhab.ac.r Elecrcal and Compuer Engneerng,

More information

H = d d q 1 d d q N d d p 1 d d p N exp

H = d d q 1 d d q N d d p 1 d d p N exp 8333: Sacal Mechanc I roblem Se # 7 Soluon Fall 3 Canoncal Enemble Non-harmonc Ga: The Hamlonan for a ga of N non neracng parcle n a d dmenonal box ha he form H A p a The paron funcon gven by ZN T d d

More information

TUTORIAL SOLUTIONS. F.1 KCL, KVL, Power and Energy Q.1. i All units in VAΩ,,

TUTORIAL SOLUTIONS. F.1 KCL, KVL, Power and Energy Q.1. i All units in VAΩ,, F TUTOIAL SOLUTIONS F. KCL, KVL, Power and Energy Q. 8 9 6 All uns n VAΩ,, Appendx F Tuoral Soluons Applyng KCL o he doed surface: + + Q. All uns n V, A, Ω Nework A Nework B Applyng KCL o he doed surface:

More information

First-order piecewise-linear dynamic circuits

First-order piecewise-linear dynamic circuits Frs-order pecewse-lnear dynamc crcus. Fndng he soluon We wll sudy rs-order dynamc crcus composed o a nonlnear resse one-por, ermnaed eher by a lnear capacor or a lnear nducor (see Fg.. Nonlnear resse one-por

More information

CHAPTER II AC POWER CALCULATIONS

CHAPTER II AC POWER CALCULATIONS CHAE AC OWE CACUAON Conens nroducon nsananeous and Aerage ower Effece or M alue Apparen ower Coplex ower Conseraon of AC ower ower Facor and ower Facor Correcon Maxu Aerage ower ransfer Applcaons 3 nroducon

More information

Randomized Perfect Bipartite Matching

Randomized Perfect Bipartite Matching Inenive Algorihm Lecure 24 Randomized Perfec Biparie Maching Lecurer: Daniel A. Spielman April 9, 208 24. Inroducion We explain a randomized algorihm by Ahih Goel, Michael Kapralov and Sanjeev Khanna for

More information

Problem Set If all directed edges in a network have distinct capacities, then there is a unique maximum flow.

Problem Set If all directed edges in a network have distinct capacities, then there is a unique maximum flow. CSE 202: Deign and Analyi of Algorihm Winer 2013 Problem Se 3 Inrucor: Kamalika Chaudhuri Due on: Tue. Feb 26, 2013 Inrucion For your proof, you may ue any lower bound, algorihm or daa rucure from he ex

More information

Chapters 2 Kinematics. Position, Distance, Displacement

Chapters 2 Kinematics. Position, Distance, Displacement Chapers Knemacs Poson, Dsance, Dsplacemen Mechancs: Knemacs and Dynamcs. Knemacs deals wh moon, bu s no concerned wh he cause o moon. Dynamcs deals wh he relaonshp beween orce and moon. The word dsplacemen

More information

R th is the Thevenin equivalent at the capacitor terminals.

R th is the Thevenin equivalent at the capacitor terminals. Chaper 7, Slun. Applyng KV Fg. 7.. d 0 C - Takng he derae f each erm, d 0 C d d d r C Inegrang, () ln I 0 - () I 0 e - C C () () r - I 0 e - () V 0 e C C Chaper 7, Slun. h C where h s he Theenn equalen

More information

u(t) Figure 1. Open loop control system

u(t) Figure 1. Open loop control system Open loop conrol v cloed loop feedbac conrol The nex wo figure preen he rucure of open loop and feedbac conrol yem Figure how an open loop conrol yem whoe funcion i o caue he oupu y o follow he reference

More information

Methods of Study of Power Converters

Methods of Study of Power Converters N N Mehod of udy of Power onerer for a yemac analy by arlo. Marn N - / wh he uppor of - ouloue, rance -8 May 4 N cceleraor chool - Warrngon, UK N opc of he preenaon Par Par he phae plane repreenaon ere-parallel

More information

Example: MOSFET Amplifier Distortion

Example: MOSFET Amplifier Distortion 4/25/2011 Example MSFET Amplfer Dsoron 1/9 Example: MSFET Amplfer Dsoron Recall hs crcu from a prevous handou: ( ) = I ( ) D D d 15.0 V RD = 5K v ( ) = V v ( ) D o v( ) - K = 2 0.25 ma/v V = 2.0 V 40V.

More information

Mechanics Physics 151

Mechanics Physics 151 Mechancs Physcs 5 Lecure 9 Hamlonan Equaons of Moon (Chaper 8) Wha We Dd Las Tme Consruced Hamlonan formalsm H ( q, p, ) = q p L( q, q, ) H p = q H q = p H = L Equvalen o Lagrangan formalsm Smpler, bu

More information

Laplace Transformation of Linear Time-Varying Systems

Laplace Transformation of Linear Time-Varying Systems Laplace Tranformaon of Lnear Tme-Varyng Syem Shervn Erfan Reearch Cenre for Inegraed Mcroelecronc Elecrcal and Compuer Engneerng Deparmen Unvery of Wndor Wndor, Onaro N9B 3P4, Canada Aug. 4, 9 Oulne of

More information

EECE 301 Signals & Systems Prof. Mark Fowler

EECE 301 Signals & Systems Prof. Mark Fowler EECE 31 Signal & Syem Prof. Mark Fowler Noe Se #27 C-T Syem: Laplace Tranform Power Tool for yem analyi Reading Aignmen: Secion 6.1 6.3 of Kamen and Heck 1/18 Coure Flow Diagram The arrow here how concepual

More information

CHAPTER 7: SECOND-ORDER CIRCUITS

CHAPTER 7: SECOND-ORDER CIRCUITS EEE5: CI RCUI T THEORY CHAPTER 7: SECOND-ORDER CIRCUITS 7. Inroducion Thi chaper conider circui wih wo orage elemen. Known a econd-order circui becaue heir repone are decribed by differenial equaion ha

More information

Mechanics Physics 151

Mechanics Physics 151 Mechancs Physcs 5 Lecure 9 Hamlonan Equaons of Moon (Chaper 8) Wha We Dd Las Tme Consruced Hamlonan formalsm Hqp (,,) = qp Lqq (,,) H p = q H q = p H L = Equvalen o Lagrangan formalsm Smpler, bu wce as

More information

Energy Storage Devices

Energy Storage Devices Energy Sorage Deces Objece of Lecure Descrbe he consrucon of a capacor and how charge s sored. Inroduce seeral ypes of capacors Dscuss he elecrcal properes of a capacor The relaonshp beween charge, olage,

More information

Introduction to Congestion Games

Introduction to Congestion Games Algorihmic Game Theory, Summer 2017 Inroducion o Congeion Game Lecure 1 (5 page) Inrucor: Thoma Keelheim In hi lecure, we ge o know congeion game, which will be our running example for many concep in game

More information

13.1 Circuit Elements in the s Domain Circuit Analysis in the s Domain The Transfer Function and Natural Response 13.

13.1 Circuit Elements in the s Domain Circuit Analysis in the s Domain The Transfer Function and Natural Response 13. Chaper 3 The Laplace Tranform in Circui Analyi 3. Circui Elemen in he Domain 3.-3 Circui Analyi in he Domain 3.4-5 The Tranfer Funcion and Naural Repone 3.6 The Tranfer Funcion and he Convoluion Inegral

More information

SSRG International Journal of Thermal Engineering (SSRG-IJTE) Volume 4 Issue 1 January to April 2018

SSRG International Journal of Thermal Engineering (SSRG-IJTE) Volume 4 Issue 1 January to April 2018 SSRG Inernaonal Journal of Thermal Engneerng (SSRG-IJTE) Volume 4 Iue 1 January o Aprl 18 Opmal Conrol for a Drbued Parameer Syem wh Tme-Delay, Non-Lnear Ung he Numercal Mehod. Applcaon o One- Sded Hea

More information

Notes on the stability of dynamic systems and the use of Eigen Values.

Notes on the stability of dynamic systems and the use of Eigen Values. Noes on he sabl of dnamc ssems and he use of Egen Values. Source: Macro II course noes, Dr. Davd Bessler s Tme Seres course noes, zarads (999) Ineremporal Macroeconomcs chaper 4 & Techncal ppend, and Hamlon

More information

Discussion Session 2 Constant Acceleration/Relative Motion Week 03

Discussion Session 2 Constant Acceleration/Relative Motion Week 03 PHYS 100 Dicuion Seion Conan Acceleraion/Relaive Moion Week 03 The Plan Today you will work wih your group explore he idea of reference frame (i.e. relaive moion) and moion wih conan acceleraion. You ll

More information

Lecture 18: The Laplace Transform (See Sections and 14.7 in Boas)

Lecture 18: The Laplace Transform (See Sections and 14.7 in Boas) Lecure 8: The Lalace Transform (See Secons 88- and 47 n Boas) Recall ha our bg-cure goal s he analyss of he dfferenal equaon, ax bx cx F, where we emloy varous exansons for he drvng funcon F deendng on

More information

EE202 Circuit Theory II

EE202 Circuit Theory II EE202 Circui Theory II 2017-2018, Spring Dr. Yılmaz KALKAN I. Inroducion & eview of Fir Order Circui (Chaper 7 of Nilon - 3 Hr. Inroducion, C and L Circui, Naural and Sep epone of Serie and Parallel L/C

More information

. The geometric multiplicity is dim[ker( λi. number of linearly independent eigenvectors associated with this eigenvalue.

. The geometric multiplicity is dim[ker( λi. number of linearly independent eigenvectors associated with this eigenvalue. Lnear Algebra Lecure # Noes We connue wh he dscusson of egenvalues, egenvecors, and dagonalzably of marces We wan o know, n parcular wha condons wll assure ha a marx can be dagonalzed and wha he obsrucons

More information

Linear Response Theory: The connection between QFT and experiments

Linear Response Theory: The connection between QFT and experiments Phys540.nb 39 3 Lnear Response Theory: The connecon beween QFT and expermens 3.1. Basc conceps and deas Q: ow do we measure he conducvy of a meal? A: we frs nroduce a weak elecrc feld E, and hen measure

More information

Density Matrix Description of NMR BCMB/CHEM 8190

Density Matrix Description of NMR BCMB/CHEM 8190 Densy Marx Descrpon of NMR BCMBCHEM 89 Operaors n Marx Noaon Alernae approach o second order specra: ask abou x magnezaon nsead of energes and ranson probables. If we say wh one bass se, properes vary

More information

s-domain Circuit Analysis

s-domain Circuit Analysis Domain ircui Analyi Operae direcly in he domain wih capacior, inducor and reior Key feaure lineariy i preerved c decribed by ODE and heir I Order equal number of plu number of Elemenbyelemen and ource

More information

In the complete model, these slopes are ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL. (! i+1 -! i ) + [(!") i+1,q - [(!

In the complete model, these slopes are ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL. (! i+1 -! i ) + [(!) i+1,q - [(! ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL The frs hng o es n wo-way ANOVA: Is here neracon? "No neracon" means: The man effecs model would f. Ths n urn means: In he neracon plo (wh A on he horzonal

More information

. The geometric multiplicity is dim[ker( λi. A )], i.e. the number of linearly independent eigenvectors associated with this eigenvalue.

. The geometric multiplicity is dim[ker( λi. A )], i.e. the number of linearly independent eigenvectors associated with this eigenvalue. Mah E-b Lecure #0 Noes We connue wh he dscusson of egenvalues, egenvecors, and dagonalzably of marces We wan o know, n parcular wha condons wll assure ha a marx can be dagonalzed and wha he obsrucons are

More information

6.8 Laplace Transform: General Formulas

6.8 Laplace Transform: General Formulas 48 HAP. 6 Laplace Tranform 6.8 Laplace Tranform: General Formula Formula Name, ommen Sec. F() l{ f ()} e f () d f () l {F()} Definiion of Tranform Invere Tranform 6. l{af () bg()} al{f ()} bl{g()} Lineariy

More information

Graduate Macroeconomics 2 Problem set 5. - Solutions

Graduate Macroeconomics 2 Problem set 5. - Solutions Graduae Macroeconomcs 2 Problem se. - Soluons Queson 1 To answer hs queson we need he frms frs order condons and he equaon ha deermnes he number of frms n equlbrum. The frms frs order condons are: F K

More information

Comb Filters. Comb Filters

Comb Filters. Comb Filters The smple flers dscussed so far are characered eher by a sngle passband and/or a sngle sopband There are applcaons where flers wh mulple passbands and sopbands are requred Thecomb fler s an example of

More information

Algorithmic Discrete Mathematics 6. Exercise Sheet

Algorithmic Discrete Mathematics 6. Exercise Sheet Algorihmic Dicree Mahemaic. Exercie Shee Deparmen of Mahemaic SS 0 PD Dr. Ulf Lorenz 7. and 8. Juni 0 Dipl.-Mah. David Meffer Verion of June, 0 Groupwork Exercie G (Heap-Sor) Ue Heap-Sor wih a min-heap

More information

Density Matrix Description of NMR BCMB/CHEM 8190

Density Matrix Description of NMR BCMB/CHEM 8190 Densy Marx Descrpon of NMR BCMBCHEM 89 Operaors n Marx Noaon If we say wh one bass se, properes vary only because of changes n he coeffcens weghng each bass se funcon x = h< Ix > - hs s how we calculae

More information

Single Phase Line Frequency Uncontrolled Rectifiers

Single Phase Line Frequency Uncontrolled Rectifiers Single Phae Line Frequency Unconrolle Recifier Kevin Gaughan 24-Nov-03 Single Phae Unconrolle Recifier 1 Topic Baic operaion an Waveform (nucive Loa) Power Facor Calculaion Supply curren Harmonic an Th

More information

Lecture 6: Learning for Control (Generalised Linear Regression)

Lecture 6: Learning for Control (Generalised Linear Regression) Lecure 6: Learnng for Conrol (Generalsed Lnear Regresson) Conens: Lnear Mehods for Regresson Leas Squares, Gauss Markov heorem Recursve Leas Squares Lecure 6: RLSC - Prof. Sehu Vjayakumar Lnear Regresson

More information

Matrix reconstruction with the local max norm

Matrix reconstruction with the local max norm Marx reconrucon wh he local max norm Rna oygel Deparmen of Sac Sanford Unvery rnafb@anfordedu Nahan Srebro Toyoa Technologcal Inue a Chcago na@cedu Rulan Salakhudnov Dep of Sac and Dep of Compuer Scence

More information

To become more mathematically correct, Circuit equations are Algebraic Differential equations. from KVL, KCL from the constitutive relationship

To become more mathematically correct, Circuit equations are Algebraic Differential equations. from KVL, KCL from the constitutive relationship Laplace Tranform (Lin & DeCarlo: Ch 3) ENSC30 Elecric Circui II The Laplace ranform i an inegral ranformaion. I ranform: f ( ) F( ) ime variable complex variable From Euler > Lagrange > Laplace. Hence,

More information

Sample Final Exam (finals03) Covering Chapters 1-9 of Fundamentals of Signals & Systems

Sample Final Exam (finals03) Covering Chapters 1-9 of Fundamentals of Signals & Systems Sample Final Exam Covering Chaper 9 (final04) Sample Final Exam (final03) Covering Chaper 9 of Fundamenal of Signal & Syem Problem (0 mar) Conider he caual opamp circui iniially a re depiced below. I LI

More information

Scattering at an Interface: Oblique Incidence

Scattering at an Interface: Oblique Incidence Course Insrucor Dr. Raymond C. Rumpf Offce: A 337 Phone: (915) 747 6958 E Mal: rcrumpf@uep.edu EE 4347 Appled Elecromagnecs Topc 3g Scaerng a an Inerface: Oblque Incdence Scaerng These Oblque noes may

More information

Exponential Sawtooth

Exponential Sawtooth ECPE 36 HOMEWORK 3: PROPERTIES OF THE FOURIER TRANSFORM SOLUTION. Exponenial Sawooh: The eaie way o do hi problem i o look a he Fourier ranform of a ingle exponenial funcion, () = exp( )u(). From he able

More information

VAAL UNIVERSITY OF TECHNOLOGY FACULTY OF ENGINEERING

VAAL UNIVERSITY OF TECHNOLOGY FACULTY OF ENGINEERING VAAL UNIVERSITY OF TECHNOLOGY FACULTY OF ENGINEERING DEPARTMENT: PROCESS CONTROL AND COMPUTER SYSTEMS BACCALAUREUS TECHNOLOGIAE: ENGINEERING ELECTRICAL SUBJECT : CIRCUIT ANALYSIS IV EICAM4A ASSESSMENT

More information

A Demand System for Input Factors when there are Technological Changes in Production

A Demand System for Input Factors when there are Technological Changes in Production A Demand Syem for Inpu Facor when here are Technologcal Change n Producon Movaon Due o (e.g.) echnologcal change here mgh no be a aonary relaonhp for he co hare of each npu facor. When emang demand yem

More information

PHYSICS 151 Notes for Online Lecture #4

PHYSICS 151 Notes for Online Lecture #4 PHYSICS 5 Noe for Online Lecure #4 Acceleraion The ga pedal in a car i alo called an acceleraor becaue preing i allow you o change your elociy. Acceleraion i how fa he elociy change. So if you ar fro re

More information

Lecture VI Regression

Lecture VI Regression Lecure VI Regresson (Lnear Mehods for Regresson) Conens: Lnear Mehods for Regresson Leas Squares, Gauss Markov heorem Recursve Leas Squares Lecure VI: MLSC - Dr. Sehu Vjayakumar Lnear Regresson Model M

More information

Motion in Two Dimensions

Motion in Two Dimensions Phys 1 Chaper 4 Moon n Two Dmensons adzyubenko@csub.edu hp://www.csub.edu/~adzyubenko 005, 014 A. Dzyubenko 004 Brooks/Cole 1 Dsplacemen as a Vecor The poson of an objec s descrbed by s poson ecor, r The

More information

6 December 2013 H. T. Hoang - www4.hcmut.edu.vn/~hthoang/ 1

6 December 2013 H. T. Hoang - www4.hcmut.edu.vn/~hthoang/ 1 Lecure Noe Fundamenal of Conrol Syem Inrucor: Aoc. Prof. Dr. Huynh Thai Hoang Deparmen of Auomaic Conrol Faculy of Elecrical & Elecronic Engineering Ho Chi Minh Ciy Univeriy of Technology Email: hhoang@hcmu.edu.vn

More information

L N O Q. l q l q. I. A General Case. l q RANDOM LAGRANGE MULTIPLIERS AND TRANSVERSALITY. Econ. 511b Spring 1998 C. Sims

L N O Q. l q l q. I. A General Case. l q RANDOM LAGRANGE MULTIPLIERS AND TRANSVERSALITY. Econ. 511b Spring 1998 C. Sims Econ. 511b Sprng 1998 C. Sm RAD AGRAGE UPERS AD RASVERSAY agrange mulpler mehod are andard fare n elemenary calculu coure, and hey play a cenral role n economc applcaon of calculu becaue hey ofen urn ou

More information

, the. L and the L. x x. max. i n. It is easy to show that these two norms satisfy the following relation: x x n x = (17.3) max

, the. L and the L. x x. max. i n. It is easy to show that these two norms satisfy the following relation: x x n x = (17.3) max ecure 8 7. Sabiliy Analyi For an n dimenional vecor R n, he and he vecor norm are defined a: = T = i n i (7.) I i eay o how ha hee wo norm aify he following relaion: n (7.) If a vecor i ime-dependen, hen

More information

Network Flow. Data Structures and Algorithms Andrei Bulatov

Network Flow. Data Structures and Algorithms Andrei Bulatov Nework Flow Daa Srucure and Algorihm Andrei Bulao Algorihm Nework Flow 24-2 Flow Nework Think of a graph a yem of pipe We ue hi yem o pump waer from he ource o ink Eery pipe/edge ha limied capaciy Flow

More information

CONTROL SYSTEMS. Chapter 10 : State Space Response

CONTROL SYSTEMS. Chapter 10 : State Space Response CONTROL SYSTEMS Chaper : Sae Space Repone GATE Objecive & Numerical Type Soluion Queion 5 [GATE EE 99 IIT-Bombay : Mark] Conider a econd order yem whoe ae pace repreenaion i of he form A Bu. If () (),

More information

( )a = "t = 1 E =" B E = 5016 V. E = BHv # 3. 2 %r. c.) direction of induced current in the loop for : i.) "t < 1

( )a = t = 1 E = B E = 5016 V. E = BHv # 3. 2 %r. c.) direction of induced current in the loop for : i.) t < 1 99 3 c dr b a µ r.? d b µ d d cdr a r & b d & µ c µ c b dr µ c µ c b & ' ln' a +*+* b ln r ln a a r a ' µ c b 'b* µ c ln' * & ln, &a a+ ncreang no he page o nduced curren wll creae a - feldou of he page

More information

EE Control Systems LECTURE 2

EE Control Systems LECTURE 2 Copyrigh F.L. Lewi 999 All righ reerved EE 434 - Conrol Syem LECTURE REVIEW OF LAPLACE TRANSFORM LAPLACE TRANSFORM The Laplace ranform i very ueful in analyi and deign for yem ha are linear and ime-invarian

More information

Chapter 9 - The Laplace Transform

Chapter 9 - The Laplace Transform Chaper 9 - The Laplace Tranform Selece Soluion. Skech he pole-zero plo an region of convergence (if i exi) for hee ignal. ω [] () 8 (a) x e u = 8 ROC σ ( ) 3 (b) x e co π u ω [] ( ) () (c) x e u e u ROC

More information

Laplace Transform. Inverse Laplace Transform. e st f(t)dt. (2)

Laplace Transform. Inverse Laplace Transform. e st f(t)dt. (2) Laplace Tranform Maoud Malek The Laplace ranform i an inegral ranform named in honor of mahemaician and aronomer Pierre-Simon Laplace, who ued he ranform in hi work on probabiliy heory. I i a powerful

More information

Chapter 7: Inverse-Response Systems

Chapter 7: Inverse-Response Systems Chaper 7: Invere-Repone Syem Normal Syem Invere-Repone Syem Baic Sar ou in he wrong direcion End up in he original eady-ae gain value Two or more yem wih differen magniude and cale in parallel Main yem

More information

Chapter 6. Laplace Transforms

Chapter 6. Laplace Transforms 6- Chaper 6. Laplace Tranform 6.4 Shor Impule. Dirac Dela Funcion. Parial Fracion 6.5 Convoluion. Inegral Equaion 6.6 Differeniaion and Inegraion of Tranform 6.7 Syem of ODE 6.4 Shor Impule. Dirac Dela

More information

Physics 240: Worksheet 16 Name

Physics 240: Worksheet 16 Name Phyic 4: Workhee 16 Nae Non-unifor circular oion Each of hee proble involve non-unifor circular oion wih a conan α. (1) Obain each of he equaion of oion for non-unifor circular oion under a conan acceleraion,

More information

On One Analytic Method of. Constructing Program Controls

On One Analytic Method of. Constructing Program Controls Appled Mahemacal Scences, Vol. 9, 05, no. 8, 409-407 HIKARI Ld, www.m-hkar.com hp://dx.do.org/0.988/ams.05.54349 On One Analyc Mehod of Consrucng Program Conrols A. N. Kvko, S. V. Chsyakov and Yu. E. Balyna

More information

Lecture 11: Stereo and Surface Estimation

Lecture 11: Stereo and Surface Estimation Lecure : Sereo and Surface Emaon When camera poon have been deermned, ung rucure from moon, we would lke o compue a dene urface model of he cene. In h lecure we wll udy he o called Sereo Problem, where

More information

The Residual Graph. 12 Augmenting Path Algorithms. Augmenting Path Algorithm. Augmenting Path Algorithm

The Residual Graph. 12 Augmenting Path Algorithms. Augmenting Path Algorithm. Augmenting Path Algorithm Augmening Pah Algorihm Greedy-algorihm: ar wih f (e) = everywhere find an - pah wih f (e) < c(e) on every edge augmen flow along he pah repea a long a poible The Reidual Graph From he graph G = (V, E,

More information

MATHEMATICAL MODEL OF THYRISTOR INVERTER INCLUDING A SERIES-PARALLEL RESONANT CIRCUIT

MATHEMATICAL MODEL OF THYRISTOR INVERTER INCLUDING A SERIES-PARALLEL RESONANT CIRCUIT 78 Avance n Elecrcal an Elecronc Engneerng MATHEMATIA MODE OF THYRISTOR INVERTER INUDING A SERIESPARAE RESONANT IRUIT M. uf, E. Szycha Faculy of Tranpor, Techncal Unvery of Raom, Polan ul. Malczewkego

More information

Displacement, Velocity, and Acceleration. (WHERE and WHEN?)

Displacement, Velocity, and Acceleration. (WHERE and WHEN?) Dsplacemen, Velocy, and Acceleraon (WHERE and WHEN?) Mah resources Append A n your book! Symbols and meanng Algebra Geomery (olumes, ec.) Trgonomery Append A Logarhms Remnder You wll do well n hs class

More information

II. Light is a Ray (Geometrical Optics)

II. Light is a Ray (Geometrical Optics) II Lgh s a Ray (Geomercal Opcs) IIB Reflecon and Refracon Hero s Prncple of Leas Dsance Law of Reflecon Hero of Aleandra, who lved n he 2 nd cenury BC, posulaed he followng prncple: Prncple of Leas Dsance:

More information

Chapter 3: Vectors and Two-Dimensional Motion

Chapter 3: Vectors and Two-Dimensional Motion Chape 3: Vecos and Two-Dmensonal Moon Vecos: magnude and decon Negae o a eco: eese s decon Mulplng o ddng a eco b a scala Vecos n he same decon (eaed lke numbes) Geneal Veco Addon: Tangle mehod o addon

More information

The Residual Graph. 11 Augmenting Path Algorithms. Augmenting Path Algorithm. Augmenting Path Algorithm

The Residual Graph. 11 Augmenting Path Algorithms. Augmenting Path Algorithm. Augmenting Path Algorithm Augmening Pah Algorihm Greedy-algorihm: ar wih f (e) = everywhere find an - pah wih f (e) < c(e) on every edge augmen flow along he pah repea a long a poible The Reidual Graph From he graph G = (V, E,

More information

TSS = SST + SSE An orthogonal partition of the total SS

TSS = SST + SSE An orthogonal partition of the total SS ANOVA: Topc 4. Orhogonal conrass [ST&D p. 183] H 0 : µ 1 = µ =... = µ H 1 : The mean of a leas one reamen group s dfferen To es hs hypohess, a basc ANOVA allocaes he varaon among reamen means (SST) equally

More information

Math 2214 Solution Test 1 B Spring 2016

Math 2214 Solution Test 1 B Spring 2016 Mah 14 Soluion Te 1 B Spring 016 Problem 1: Ue eparaion of ariable o ole he Iniial alue DE Soluion (14p) e =, (0) = 0 d = e e d e d = o = ln e d uing u-du b leing u = e 1 e = + where C = for he iniial

More information

ESS 265 Spring Quarter 2005 Kinetic Simulations

ESS 265 Spring Quarter 2005 Kinetic Simulations SS 65 Spng Quae 5 Knec Sulaon Lecue une 9 5 An aple of an lecoagnec Pacle Code A an eaple of a knec ulaon we wll ue a one denonal elecoagnec ulaon code called KMPO deeloped b Yohhau Oua and Hoh Mauoo.

More information

Lecture 11 Inductance and Capacitance

Lecture 11 Inductance and Capacitance ecure Inducance and apacance EETRIA ENGINEERING: PRINIPES AND APPIATIONS, Fourh Edon, by Allan R. Hambley, 8 Pearson Educaon, Inc. Goals. Fnd he curren olage for a capacance or nducance gen he olage curren

More information

THE PREDICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS

THE PREDICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS THE PREICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS INTROUCTION The wo dmensonal paral dfferenal equaons of second order can be used for he smulaon of compeve envronmen n busness The arcle presens he

More information

Let s treat the problem of the response of a system to an applied external force. Again,

Let s treat the problem of the response of a system to an applied external force. Again, Page 33 QUANTUM LNEAR RESPONSE FUNCTON Le s rea he problem of he response of a sysem o an appled exernal force. Agan, H() H f () A H + V () Exernal agen acng on nernal varable Hamlonan for equlbrum sysem

More information

Appendix H: Rarefaction and extrapolation of Hill numbers for incidence data

Appendix H: Rarefaction and extrapolation of Hill numbers for incidence data Anne Chao Ncholas J Goell C seh lzabeh L ander K Ma Rober K Colwell and Aaron M llson 03 Rarefacon and erapolaon wh ll numbers: a framewor for samplng and esmaon n speces dversy sudes cology Monographs

More information

Math 333 Problem Set #2 Solution 14 February 2003

Math 333 Problem Set #2 Solution 14 February 2003 Mah 333 Problem Se #2 Soluion 14 February 2003 A1. Solve he iniial value problem dy dx = x2 + e 3x ; 2y 4 y(0) = 1. Soluion: This is separable; we wrie 2y 4 dy = x 2 + e x dx and inegrae o ge The iniial

More information

CS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 4

CS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 4 CS434a/54a: Paern Recognon Prof. Olga Veksler Lecure 4 Oulne Normal Random Varable Properes Dscrmnan funcons Why Normal Random Varables? Analycally racable Works well when observaon comes form a corruped

More information

Circuit Theorems. Introduction

Circuit Theorems. Introduction //5 Crcut eorem ntroducton nearty Property uperpoton ource Tranformaton eenn eorem orton eorem Maxmum Power Tranfer ummary ntroducton To deelop analy technque applcable to lnear crcut. To mplfy crcut analy

More information

Engineering Circuit Analysis 8th Edition Chapter Nine Exercise Solutions

Engineering Circuit Analysis 8th Edition Chapter Nine Exercise Solutions Engnrng rcu naly 8h Eon hapr Nn Exrc Soluon. = KΩ, = µf, an uch ha h crcu rpon oramp. a For Sourc-fr paralll crcu: For oramp or b H 9V, V / hoo = H.7.8 ra / 5..7..9 9V 9..9..9 5.75,.5 5.75.5..9 . = nh,

More information

GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS. Youngwoo Ahn and Kitae Kim

GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS. Youngwoo Ahn and Kitae Kim Korean J. Mah. 19 (2011), No. 3, pp. 263 272 GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS Youngwoo Ahn and Kae Km Absrac. In he paper [1], an explc correspondence beween ceran

More information

Angular Motion, Speed and Velocity

Angular Motion, Speed and Velocity Add Imporan Angular Moion, Speed and Velociy Page: 163 Noe/Cue Here Angular Moion, Speed and Velociy NGSS Sandard: N/A MA Curriculum Framework (006): 1.1, 1. AP Phyic 1 Learning Objecive: 3.A.1.1, 3.A.1.3

More information

EECE 301 Signals & Systems Prof. Mark Fowler

EECE 301 Signals & Systems Prof. Mark Fowler EECE 30 Signal & Syem Prof. ark Fowler oe Se #34 C-T Tranfer Funcion and Frequency Repone /4 Finding he Tranfer Funcion from Differenial Eq. Recall: we found a DT yem Tranfer Funcion Hz y aking he ZT of

More information

Transient Response in Electric Circuits

Transient Response in Electric Circuits Transen esponse n Elecrc rcus The elemen equaon for he branch of he fgure when he source s gven by a generc funcon of me, s v () r d r ds = r Mrs d d r (')d' () V The crcu s descrbed by he opology equaons

More information

Notes on cointegration of real interest rates and real exchange rates. ρ (2)

Notes on cointegration of real interest rates and real exchange rates. ρ (2) Noe on coinegraion of real inere rae and real exchange rae Charle ngel, Univeriy of Wiconin Le me ar wih he obervaion ha while he lieraure (mo prominenly Meee and Rogoff (988) and dion and Paul (993))

More information