Transient Response in Electric Circuits

Size: px
Start display at page:

Download "Transient Response in Electric Circuits"

Transcription

1 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 and by he elemen equaons of he form gven by eq.. n m v r r v r = f( r ) = = v r r V r - r r M rs Ths sysem of equaon s negrodfferenal and can be solved by an exsng convenonal mehod of mahemacs. s r r Deparmen of Elecrcal, Elecronc, and Informaon Engneerng (DEI) - Unversy of Bologna Transen esponse n Elecrc rcus Transen ause A change n he crcu operang condons s he cause of a ransen before reachng he seady sae operaon whch can be suded n he me doman by means of he se of he equaons of he crcu analyss. On- off or off- on mode changes of swches or sudden changes of he excaon (volage or curren source modeled as sep funcons) are he cause of ransens followed by a seady sae operaon ha s he response of he crcu o he changed condon. Ø The ransen response s he crcu s emporary response ha wll de ou wh me. Ths s he emporary par of he response. Ø The seady- sae response s he behavor of he crcu a long me afer he sudden change has happened. Ths s he permanen par of he response. omplee response = ransen response seady- sae response Deparmen of Elecrcal, Elecronc, and Informaon Engneerng (DEI) - Unversy of Bologna

2 Transen esponse n Elecrc rcus Transen ause The ransen response operaon, whch wll precede he esablshmen of he seady- sae operaon, s due o he me requred by he sorage elemens o bul he new condons under whch hey wll operae a he fnal seady- sae regme. The sorage elemens may change her operaon sae wh fulfllng he energy conservaon prncple. As a consequence of sorage elemens preven nsananeous varaon of energy n he rans from = - o = : ε( - ) = ε( ) An nsananeous varaon of he energy would only be caused by a source of nfne power: - ε( ) ε( ) p( ) lm = = Δ Δ Deparmen of Elecrcal, Elecronc, and Informaon Engneerng (DEI) - Unversy of Bologna Energy onservaon Prncple In order o nhb nsananeous varaons of he sored energy, capacors oppose any sharp varaon of he enson, and nducors oppose any sharp varaon of he curren. Ths can be seen from he expresson of he energy sored n he wo elemens. ε () = magnec energy sored by an nducor Q ε () = v = elecrosac energy sored by a capacor The rans from = - and =, represenng he saus of he crcu operaon mmedaely before he change and mmedaely afer of respecvely, has o fulfll he energy conservaon prncple, whch has he followng consequences: ( - ) = ( ) n branches wh nducors v( - ) = v( ) beween he ermnal of a capacor Q( - ) = Q( ) charge sored n each of he conducng plaes of he capacor Deparmen of Elecrcal, Elecronc, and Informaon Engneerng (DEI) - Unversy of Bologna

3 Frs Order rcus: rcu Source Free rcu esponse Naural esponse q A me = he swch of he crcu of he fgure s closed. The capacor before = s charged a Q = Q. A ransen wll sar and wll be exngushed when he regme a he new condons s reached. The volage, due o he elecrosac feld of he capacor acs on he charges sored on a capacor plaes, whch flow hrough he ressor oward he oppose plae. Ths curren ransfers he elecrosac energy sored by he capacor o he ressor where s dsspaed. When all he energy s dsspaed he ransen vanshes. Ø The crcu s beng exced by he energy sored n he capacor. No exernal sources are presen. Ø The am s o deermne he crcu response ha s assumed o be gven by he behavor of he volage v() across he capacor. The naural response of a crcu refers o he behavor (n erms of volages or of currens) of he crcu self, wh no exernal sources of excaon. = - < - < Q = V A Q() v() v() Frs Order rcus: rcu Source Free rcu esponse Naural esponse A me < s Q = Q and v = Q / = V. For he energy conservaon prncple a = s also Q = Q and v = Q / = V. A he < from K a node A s: = as = dv/d and = v/, resuls dv v = () d The soluon of he ransen, whch represens he naural response of he crcu, s gven by he soluon of eq. ha s a frs order homogeneous dfferenal equaon (hs s he movaon of he erm frs order crcu): v() = A e α α = - /() = - /τ where α s he soluon of he characersc equaon assocaed o eq.. The me consan s defne by τ = - /α. = - < - < A Q() Deparmen of Elecrcal, Elecronc, and Informaon Engneerng (DEI) - Unversy of Bologna Q A v() v() 3

4 Frs Order rcus: rcu Source Free rcu Naural esponse The consan A s derved from he nal condons a = : herefore: v( ) = V ( ) = Q( ) v() = V e /τ where τ = s he me consan. The me consan τ of a crcu s he me requred o he response o decay o a facor /e or 36.8 % of s nal value. V.368 V Every me nerval of τ he volage s reduced by.368 % of s prevous value: v(τ) = v()/e =.368 v(). The dervave of v() a = s - /τ. Thus τ s he nal rae of decay or he me for v o decay from V O o zero, assumng a consan rae of decay. I akes 5τ o he crcu o reach s fnal sae (seady sae). < V τ () v() Q() e / τ V()/V τ τ τ τ.83 5 τ.674 Deparmen of Elecrcal, Elecronc, and Informaon Engneerng (DEI) - Unversy of Bologna Frs Order rcus: rcu Source Free rcu Naural esponse The curren n he crcu s: () = v() = V e /() The power dsspaed by he ressor s p() = v() () = V e /() and he energy ransfered from he capacor and absorbed by he ressor up o me s ε () = p() d = d = = τ V e /() V e /() = V ( e ) /() and for, ε( ) (V ) /. v() < () v() Q() τ = τ = τ =.5 The crcu can be an equvalen crcu (Thévenn/Noron crcu). The key quanes are:. The nal capacor volge he v( - ) = v( ) = V. The me consan τ = Deparmen of Elecrcal, Elecronc, and Informaon Engneerng (DEI) - Unversy of Bologna 4

5 Sep esponse of an rcu The ransen s caused by a sep of he volage. Ths can be done by a source volage whch s suddenly appled by closng a swch. In hs case s: - < - : Q=Q, v = Q /=V A < from he KT s V (') d' -V = () Frs Order rcus: rcu From he me dervave of eq. s obaned: d d = () The soluon of he ransen soluon of eq. (a frs order homogeneous dfferenal equaon) : () = A e α (3) where agan α = -/τ = -/(). The value of he consan A s deermned hrough he analyss of he nal condons. V V - - = Q = V - < - < Deparmen of Elecrcal, Elecronc, and Informaon Engneerng (DEI) - Unversy of Bologna v() Q() Frs Order rcus: rcu Sep esponse of an rcu Analyss of he nal daa a = - : v ( - ) = V ; Q( - ) = V (nal daa) ( - ) = Analyss of he nal condons a = : - Across he capacor: v( ) = v( - )=V and from he KT: - V V = ( ) = (V -V )/ - From eq. 3 [ ()=Ae - / ], s: ( ) = A A = (V -V )/ Hence he expresson of eq. 3 s () = V V - e () - V - V = = V = Q / V = Q Deparmen of Elecrcal, Elecronc, and Informaon Engneerng (DEI) - Unversy of Bologna 5

6 Frs Order rcus: rcu Sep esponse of an rcu The response of he crcu (also for a Thévenn equvalen crcu) o a sudden volage source excaon n erms of he curren () s : V V - () () = e The response of he crcu n erms of he volage v() across he capacor s derved from he elemen equaon of he capacor: v() = V (') d' from he soluon of he negral resuls () ( V - V ) v() = V e.368 V V () V e / (V -V ) The analyss of he regme a = gves he seady- sae response (forced response) [( ) =, v( ) = V ] ha added o he ransen response (naural response) gves he complee response of he crcu suddenly exced. () V -V V -V v() V -V () e / Frs Order rcus: rcu Sep esponse of an rcu When a volage source s suddenly appled by swchng on he crcu s: - < - : =, A < from he KT s d d - V = () The soluon of he ransen s gven by he soluon of he homogeneous dfferenal equaon (naural componen of he response): () = A e α where α s gven by he characersc equaon: α = -/ = -/τ. The complee response of he crcu exced by a volage source s V - = - < - () = A e f f s a parcular soluon of eq.. For he seadysae-soluon a = (forced'response) s aken: f = ( ). The consan A s gven by he nal condon a = : ( ) = ( - ) =. V - < 6

7 Frs Order rcus: rcu Sep esponse of an rcu Analyss of he seady sae a = : - V = f = = V / - V () = A e Analyss of he nal daa a = - : ( - ) = Analyss of he nal condons a = : ( ) = ( - ) = A = - V / Hence he complee response of he crcu when suddenly exced by a volage source, s () = V - e- ( ) V - V /.63 V / < τ The complee response of he crcu s he seady- sae response (forced response) [( ) = ] added o he ransen response (naural response). Frs Order rcus esponse of Frs Order rcus Ø A frs order crcu s a crcu whch can be a Thévenn conanng a ressor and one memory elemen. The soluon of he response of he crcu o a sudden excaon s gven by he soluon of a frs order dfferenal equaon. Ø The response of he crcu, when exced by an exernal source (complee response) s gven by he response of he crcu when no exernal sources are presen (ransen response or naural response) supermposed o he seady sae response ha s he poron of he complee response (seady sae response forced response) whch remans acve when he ransen response has ded ou. omplee response = ransen response seady- sae response naural response forced response (emporary par ) (permanen par) The naural response, ha gves he ransen par of he response, s he soluon of he homogeneous me dfferenal equaon The forced seady- sae response of he crcu s he parcular soluon of he non- homogeneous me dfferenal equaon a =. Deparmen of Elecrcal, Elecronc, and Informaon Engneerng (DEI) - Unversy of Bologna 7

8 Second Order rcus: rcu A second order crcu s characerzed by a second order dfferenal equaon. I consss of ressors and he equvalen of wo energy sorage elemens. The analyss of a second order crcu response s smlar o ha used for frs order. The naural response s orgnaed by he excaon/de- excaon wh ransfer of he energy sored n he sorage elemens. = - : The nal daa are essenal o defne he excaons of he ransen. They are he magnec energy sored n nducors and he elecrosac energy n capacors. Therefore hs s deermned by he currens of he nducors and he volages (or he charges) of he capacors a = -. These nal daa are gven by he soluon of he crcu a he seady- sae condons a = -. = : The nal condons are derved from he nal daa consderng ha durng he ranson from = - o = he energy connuy prncple mus be fulflled: ( ) = ( - ) = I n nducors and v( ) = v( - ) = V n capacors. The naural response s calculaed by solvng he homogeneous dfferenal equaons. The characersc mes n he exponen are he soluons of he characersc equaon, he consan of negraon are derved from he nal condons. = : The seady sae soluon a = gves he parcular soluon of he non- homogeneous dfferenal equaons n he forced response case when ndependen sources are presen. Second Order rcus: rcu esponse of Second Order rcus Ø The response of he crcu, when exced by an exernal source (complee response) s gven by he response of he crcu when no exernal sources are presen (ransen response - naural response) supermposed o he seady sae response ha s he poron of he complee response (seady sae response forced response) whch remans when he ransen response has ded ou. omplee response = ransen response seady- sae response naural response forced response (emporary par ) (permanen par) As a general case of second order crcus, n he followng of hs chaper a seres crcu (,, and n seres) exced by an ndependen volage source s consdered. Deparmen of Elecrcal, Elecronc, and Informaon Engneerng (DEI) - Unversy of Bologna 8

9 j Second Order rcu: Seres rcu A - < - : Q = Q, v = V = Q /, = A = : he swch s closed. A < : from KT resuls: * Q() (')(d' *V ((( ( d( d = ((((((((((((() ( ( (')(d' *V ((( ( d( d = v () (')(d' *V ( d( d = (((() from(he(me(dervaon((resuls(: d ( d d( d ( = ((((((((((((((((((((((((((((3) The(response,(n(erms(of(((),(s(gven(by( he(soluon(of(eq.(3,(ha(s(an(ordnary( dfferenal(equaon(of(he(second'order. V V - - = - < - < Q Deparmen of Elecrcal, Elecronc, and Informaon Engneerng (DEI) - Unversy of Bologna Second Order rcus: Seres rcu Analyss of he nal daa a = - : v ( - ) = V ; Q( - ) = V ( - ) = Analyss of he nal cond. a = : - Across he capacor: v ( ) = v ( - ) = V - Through he nducor: ( ) = ( - ) = d( ) V - V = d d( ) = (V - V )/ d Analyss of he seady sae a = : ( ) = ; v ( ) = V V - A = : apacors exce he crcuas ndependa volage sources: v ( ) = v ( - ) = Q( - )/; Inducors exce he crcuas ndependa curren sources: ( ) = ( - ). V - = ( - ) = - v ( - ) =V V Deparmen of Elecrcal, Elecronc, and Informaon Engneerng (DEI) - Unversy of Bologna 9

10 Second Order rcus: Seres rcu Transen analyss d d = (3) d d The characersc equaon of eq. 3 s: x x = x = - ± x = - α ± α ω x, x α = /() ω = naural frequences dampng facor he resonance frequency s also he underdumped naural frequency V - = < ase A:"""α " > ""ω """ """"" > """ " """""""""""""""" x ""and"" x ""are"real"and"dsc" """""""""""""""""(negave):!!!overdamped!case ase B:"""α " = ""ω """ """"" = """ " """"""""""""""""" x ""and"" x "real"double"soluon """"""""""""""(negave):!!crcally!damped!case ase :"""α " < ""ω """ """"" < """ " """"""""""""""""" x ""and"" x ""complex"conjugae" """""(negave"real"par)"underdamped)case""" Deparmen of Elecrcal, Elecronc, and Informaon Engneerng (DEI) - Unversy of Bologna Second Order rcu: Seres rcu ase A - overdamped case : α > ω > ; x, x negave, real and dnsc The soluon of eq. 3 s: () = A e A e From he nal condons a = : A A = ( ) = x x d ( ) xa xa = = ( V - V) d where x = - ± A - A V - V Deparmen of Elecrcal, Elecronc, and Informaon Engneerng (DEI) - Unversy of Bologna = =

11 Second Order rcu: Seres rcu Transen soluon n case A Overdamped case : α > ω, > () = V - V e e e - V - = < Deparmen of Elecrcal, Elecronc, and Informaon Engneerng (DEI) - Unversy of Bologna Second Order rcu: Seres rcu ase B - crcally damped case : α = ω = ; x, x negave double soluon The soluon of eq. 4 s: () = A e A e From he nal condons a = : A = ( ) = α α where α = d ( ) A = = ( V - V ) d Transen soluon n ase B crcally damped case: () = V - V e - Deparmen of Elecrcal, Elecronc, and Informaon Engneerng (DEI) - Unversy of Bologna

12 Second Order rcu: Seres rcu ase - underdamped case : α < ω < ; x, x complex conjugae (negave real par) The soluon of eq. 3 s: From he nal condons a = : A = () = x = -α jβ x = -α jβ α ( β β ) () = A cos A sn e where where d ( ) αa βa = = ( V - V) d α = β = A A (dampng fac.) = = V - V Deparmen of Elecrcal, Elecronc, and Informaon Engneerng (DEI) - Unversy of Bologna Second Order rcu: Seres rcu Transen soluon n case Underdamped case: < V - V α () = e sn V - = T T = π T < Deparmen of Elecrcal, Elecronc, and Informaon Engneerng (DEI) - Unversy of Bologna

13 Transen Analyss: General Mehod Analyss of he ransen n he me doman. Wre he se of equaons (for example by means of he volage subsuon mehod). Defnon of a ordnary dfferenal equaon n one unknown by subsuon and dervaon: n n- d d d n n n-... n- a a a a = f() (4) d d d he soluon of whch s: () = () () where T S n xk T() Ake ransen response k= S = ( lm T() = ) ( ) () seady sae response parcular negral a = of eq. 4 Deparmen of Elecrcal, Elecronc, and Informaon Engneerng (DEI) - Unversy of Bologna Analyss of he ransen n he me doman 3. Dervaon of he parcular negral of eq. 4 a = by means of he analyss of he seady sae a =. 4. Dervaon of he naural frequences of T (),x, x,, x 3,.. x n,, whch are he soluons of he characersc equaon of he homogeneous dfferenal equaon assocaed o eq Dervaon of he negraon consans A, A, A 3,.A n by means of he nal condons. 6. Dervaon of he oher unknowns. Hence, n order o derve he complee response of he crcu, s necessary o fnd he crcu operaon a: = o deermne he seady sae soluon, ha s he parcular negral of eq. 4 a = ; = - o deermne he nal daa; = o deermne he nal condons. Deparmen of Elecrcal, Elecronc, and Informaon Engneerng (DEI) - Unversy of Bologna 3

14 Analyss of he ransen n he me doman A = he swch s closed and he crcu response wh a ransen s naed.. Se of smulaneous equaons descrbng he crcu a < < : V - = Q d - V = d Q (') d' - V = - - =. Successve dervaon and subsuon o oban an ordnary dfferenal equaon n one unknown: d d V = (5) d d Deparmen of Elecrcal, Elecronc, and Informaon Engneerng (DEI) - Unversy of Bologna Analyss of he ransen n he me doman Analyss of he nal daa a = - : ( - ) = ( - ) = ( - ) = v ( - ) = as ( - ) = ( - ) = ; Q ( - ) = Analyss of he nal cond. a = : - Across he capacor: v ( ) = v ( - ) = - Through he nducor: ( ) = ( - ) = V - ( ) - ( ) = ( ) - ( ) = ( ) = ( ) = V /( ) ( d ) - ( ) = d d ( ) = V /[ ( )] d V V - = Q ( - ) - = - = v (-) = 4

15 Analyss of he ransen n he me doman Analys. of he seady sae a = : ( ) = ( ) = V /; ( ) = ; v ( ) =. Soluon of eq. 5:!!!!!()!! =!!A e x!!a e x V where! x!and!! x!are!he!soluon!of he!characersc!equaon!of!eq.!5: % x x = %% The!negraon!consans!A!and!A! are!deermned!by!he!nzal!condzons:!!!! ( )! =!A!!A! =!!!!! d! ( ) = x d A!! x A! =!!!!!!!!!!!!!!!!!!!!!!!!! =! V! V - = Q = - = = V /( ) V / V /( ) V / V d /d Q v Deparmen of Elecrcal, Elecronc, and Informaon Engneerng (DEI) - Unversy of Bologna Termnology Englsh hnese complee response 完全响应 source free response 零输入相应 frs order crcu 一阶电路 seady- sae 稳态 forced response 强迫相应 seady- sae response 稳态响应 naural response 自由响应 sep response 阶跃响应 response 响应 me consan 时间常数 second order crcu 二阶电路 ransen 暂态 naural response 自由响应 ransen response 暂态响应 Deparmen of Elecrcal Engneerng Unversy of Bologna 3 5

16 Termnology complee response rsposa complea source free response rsposa lbera frs order crcu crcuo del prmo ordne seady- sae regme sazonaro forced response rsposa forzaa seady- sae response rsposa d regme naural response rsposa naurale sep response rsposa al gradno response rsposa me consan cosane d empo second order crcu naural response crcuo del secondo ordne rsposa naurale ransen ransen response ransoro rsposa ransora 3 Deparmen of Elecrcal, Elecronc, and Informaon Engneerng (DEI) - Unversy of Bologna 6

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

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

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

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

( ) () 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

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

P R = P 0. The system is shown on the next figure:

P R = P 0. The system is shown on the next figure: TPG460 Reservor Smulaon 08 page of INTRODUCTION TO RESERVOIR SIMULATION Analycal and numercal soluons of smple one-dmensonal, one-phase flow equaons As an nroducon o reservor smulaon, we wll revew he smples

More information

Power Electronics 7. Diode and Diode Circuits

Power Electronics 7. Diode and Diode Circuits Module 7 Dode and Dode Crcus. Inroducon 2. DC and swchng characerscs 3. Types of Power Dode 4. Dode Crcu 4.. Seres Conneced Dodes 4.2. Parallel Conneced Dodes 5. Dode behavor for dfferen loads 6. Freewheelng

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

V.Abramov - FURTHER ANALYSIS OF CONFIDENCE INTERVALS FOR LARGE CLIENT/SERVER COMPUTER NETWORKS

V.Abramov - FURTHER ANALYSIS OF CONFIDENCE INTERVALS FOR LARGE CLIENT/SERVER COMPUTER NETWORKS R&RATA # Vol.) 8, March FURTHER AALYSIS OF COFIDECE ITERVALS FOR LARGE CLIET/SERVER COMPUTER ETWORKS Vyacheslav Abramov School of Mahemacal Scences, Monash Unversy, Buldng 8, Level 4, Clayon Campus, Wellngon

More information

HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD

HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD Journal of Appled Mahemacs and Compuaonal Mechancs 3, (), 45-5 HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD Sansław Kukla, Urszula Sedlecka Insue of Mahemacs,

More information

CAPACITANCE AND INDUCTANCE

CAPACITANCE AND INDUCTANCE APAITANE AND INDUTANE Inroduces wo passve, energy sorng devces: apacors and Inducors LEARNING GOALS APAITORS Sore energy n her elecrc feld (elecrosac energy) Model as crcu elemen INDUTORS Sore energy n

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

J i-1 i. J i i+1. Numerical integration of the diffusion equation (I) Finite difference method. Spatial Discretization. Internal nodes.

J i-1 i. J i i+1. Numerical integration of the diffusion equation (I) Finite difference method. Spatial Discretization. Internal nodes. umercal negraon of he dffuson equaon (I) Fne dfference mehod. Spaal screaon. Inernal nodes. R L V For hermal conducon le s dscree he spaal doman no small fne spans, =,,: Balance of parcles for an nernal

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

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

2. Electric Circuit Theory

2. Electric Circuit Theory . Elecrc rcu Theory J Deparmen of Elecrcal, Elecronc, and Informaon Engneerng (DEI) - Unersy of ologna Elecrc crcu heory and Elecromagnec heory are he wo fundamenal heores upon whch all branches of elecrcal

More information

CH.3. COMPATIBILITY EQUATIONS. Continuum Mechanics Course (MMC) - ETSECCPB - UPC

CH.3. COMPATIBILITY EQUATIONS. Continuum Mechanics Course (MMC) - ETSECCPB - UPC CH.3. COMPATIBILITY EQUATIONS Connuum Mechancs Course (MMC) - ETSECCPB - UPC Overvew Compably Condons Compably Equaons of a Poenal Vecor Feld Compably Condons for Infnesmal Srans Inegraon of he Infnesmal

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

CHAPTER 6: FIRST-ORDER CIRCUITS

CHAPTER 6: FIRST-ORDER CIRCUITS EEE5: CI CUI T THEOY CHAPTE 6: FIST-ODE CICUITS 6. Inroducion This chaper considers L and C circuis. Applying he Kirshoff s law o C and L circuis produces differenial equaions. The differenial equaions

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

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

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

[ ] 2. [ ]3 + (Δx i + Δx i 1 ) / 2. Δx i-1 Δx i Δx i+1. TPG4160 Reservoir Simulation 2018 Lecture note 3. page 1 of 5

[ ] 2. [ ]3 + (Δx i + Δx i 1 ) / 2. Δx i-1 Δx i Δx i+1. TPG4160 Reservoir Simulation 2018 Lecture note 3. page 1 of 5 TPG460 Reservor Smulaon 08 page of 5 DISCRETIZATIO OF THE FOW EQUATIOS As we already have seen, fne dfference appromaons of he paral dervaves appearng n he flow equaons may be obaned from Taylor seres

More information

V R. Electronics and Microelectronics AE4B34EM. Electronics and Microelectronics AE4B34EM. Voltage. Basic concept. Voltage.

V R. Electronics and Microelectronics AE4B34EM. Electronics and Microelectronics AE4B34EM. Voltage. Basic concept. Voltage. Elecroncs and Mcroelecroncs AEBEM. lecure basc elecronc crcu conceps ressors, capacors, nducors Elecroncs and Mcroelecroncs AEBEM Sudng maerals: server MOODLE hp://moodle.kme.fel.cvu.cz AEBEM Elecroncs

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

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

Performance Analysis for a Network having Standby Redundant Unit with Waiting in Repair

Performance Analysis for a Network having Standby Redundant Unit with Waiting in Repair TECHNI Inernaonal Journal of Compung Scence Communcaon Technologes VOL.5 NO. July 22 (ISSN 974-3375 erformance nalyss for a Nework havng Sby edundan Un wh ang n epar Jendra Sngh 2 abns orwal 2 Deparmen

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

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

Existence and Uniqueness Results for Random Impulsive Integro-Differential Equation

Existence and Uniqueness Results for Random Impulsive Integro-Differential Equation Global Journal of Pure and Appled Mahemacs. ISSN 973-768 Volume 4, Number 6 (8), pp. 89-87 Research Inda Publcaons hp://www.rpublcaon.com Exsence and Unqueness Resuls for Random Impulsve Inegro-Dfferenal

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

NATIONAL UNIVERSITY OF SINGAPORE PC5202 ADVANCED STATISTICAL MECHANICS. (Semester II: AY ) Time Allowed: 2 Hours

NATIONAL UNIVERSITY OF SINGAPORE PC5202 ADVANCED STATISTICAL MECHANICS. (Semester II: AY ) Time Allowed: 2 Hours NATONAL UNVERSTY OF SNGAPORE PC5 ADVANCED STATSTCAL MECHANCS (Semeser : AY 1-13) Tme Allowed: Hours NSTRUCTONS TO CANDDATES 1. Ths examnaon paper conans 5 quesons and comprses 4 prned pages.. Answer all

More information

John Geweke a and Gianni Amisano b a Departments of Economics and Statistics, University of Iowa, USA b European Central Bank, Frankfurt, Germany

John Geweke a and Gianni Amisano b a Departments of Economics and Statistics, University of Iowa, USA b European Central Bank, Frankfurt, Germany Herarchcal Markov Normal Mxure models wh Applcaons o Fnancal Asse Reurns Appendx: Proofs of Theorems and Condonal Poseror Dsrbuons John Geweke a and Gann Amsano b a Deparmens of Economcs and Sascs, Unversy

More information

Mechanics Physics 151

Mechanics Physics 151 Mechancs Physcs 5 Lecure 0 Canoncal Transformaons (Chaper 9) Wha We Dd Las Tme Hamlon s Prncple n he Hamlonan formalsm Dervaon was smple δi δ Addonal end-pon consrans pq H( q, p, ) d 0 δ q ( ) δq ( ) δ

More information

DEEP UNFOLDING FOR MULTICHANNEL SOURCE SEPARATION SUPPLEMENTARY MATERIAL

DEEP UNFOLDING FOR MULTICHANNEL SOURCE SEPARATION SUPPLEMENTARY MATERIAL DEEP UNFOLDING FOR MULTICHANNEL SOURCE SEPARATION SUPPLEMENTARY MATERIAL Sco Wsdom, John Hershey 2, Jonahan Le Roux 2, and Shnj Waanabe 2 Deparmen o Elecrcal Engneerng, Unversy o Washngon, Seale, WA, USA

More information

Approximate Analytic Solution of (2+1) - Dimensional Zakharov-Kuznetsov(Zk) Equations Using Homotopy

Approximate Analytic Solution of (2+1) - Dimensional Zakharov-Kuznetsov(Zk) Equations Using Homotopy Arcle Inernaonal Journal of Modern Mahemacal Scences, 4, (): - Inernaonal Journal of Modern Mahemacal Scences Journal homepage: www.modernscenfcpress.com/journals/jmms.aspx ISSN: 66-86X Florda, USA Approxmae

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

FI 3103 Quantum Physics

FI 3103 Quantum Physics /9/4 FI 33 Quanum Physcs Aleander A. Iskandar Physcs of Magnesm and Phooncs Research Grou Insu Teknolog Bandung Basc Conces n Quanum Physcs Probably and Eecaon Value Hesenberg Uncerany Prncle Wave Funcon

More information

Different kind of oscillation

Different kind of oscillation PhO 98 Theorecal Qeson.Elecrcy Problem (8 pons) Deren knd o oscllaon e s consder he elecrc crc n he gre, or whch mh, mh, nf, nf and kω. The swch K beng closed he crc s copled wh a sorce o alernang crren.

More information

On computing differential transform of nonlinear non-autonomous functions and its applications

On computing differential transform of nonlinear non-autonomous functions and its applications On compung dfferenal ransform of nonlnear non-auonomous funcons and s applcaons Essam. R. El-Zahar, and Abdelhalm Ebad Deparmen of Mahemacs, Faculy of Scences and Humanes, Prnce Saam Bn Abdulazz Unversy,

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

Sampling Procedure of the Sum of two Binary Markov Process Realizations

Sampling Procedure of the Sum of two Binary Markov Process Realizations Samplng Procedure of he Sum of wo Bnary Markov Process Realzaons YURY GORITSKIY Dep. of Mahemacal Modelng of Moscow Power Insue (Techncal Unversy), Moscow, RUSSIA, E-mal: gorsky@yandex.ru VLADIMIR KAZAKOV

More information

Evaluation of an Alternate Soft Charge Circuit for Diode Front End Variable Frequency Drives

Evaluation of an Alternate Soft Charge Circuit for Diode Front End Variable Frequency Drives Evaluaon of an Alernae Sof Charge Crcu for Dode Fron End arable Frequency Drves Mahesh Swamy Member, IEEE Yaskawa Elecrc Amerca Waukegan, I 60085, USA mahesh_swamy@yaskawa.com Tsuneo J. Kume Fellow, IEEE

More information

Ordinary Differential Equations in Neuroscience with Matlab examples. Aim 1- Gain understanding of how to set up and solve ODE s

Ordinary Differential Equations in Neuroscience with Matlab examples. Aim 1- Gain understanding of how to set up and solve ODE s Ordnary Dfferenal Equaons n Neuroscence wh Malab eamples. Am - Gan undersandng of how o se up and solve ODE s Am Undersand how o se up an solve a smple eample of he Hebb rule n D Our goal a end of class

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

. 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

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

EP2200 Queuing theory and teletraffic systems. 3rd lecture Markov chains Birth-death process - Poisson process. Viktoria Fodor KTH EES

EP2200 Queuing theory and teletraffic systems. 3rd lecture Markov chains Birth-death process - Poisson process. Viktoria Fodor KTH EES EP Queung heory and eleraffc sysems 3rd lecure Marov chans Brh-deah rocess - Posson rocess Vora Fodor KTH EES Oulne for oday Marov rocesses Connuous-me Marov-chans Grah and marx reresenaon Transen and

More information

Lecture 2 M/G/1 queues. M/G/1-queue

Lecture 2 M/G/1 queues. M/G/1-queue Lecure M/G/ queues M/G/-queue Posson arrval process Arbrary servce me dsrbuon Sngle server To deermne he sae of he sysem a me, we mus now The number of cusomers n he sysems N() Tme ha he cusomer currenly

More information

EEEB113 CIRCUIT ANALYSIS I

EEEB113 CIRCUIT ANALYSIS I 9/14/29 1 EEEB113 CICUIT ANALYSIS I Chaper 7 Firs-Order Circuis Maerials from Fundamenals of Elecric Circuis 4e, Alexander Sadiku, McGraw-Hill Companies, Inc. 2 Firs-Order Circuis -Chaper 7 7.2 The Source-Free

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 2 Linear dynamic analysis of a structural system

Chapter 2 Linear dynamic analysis of a structural system Chaper Lnear dynamc analyss of a srucural sysem. Dynamc equlbrum he dynamc equlbrum analyss of a srucure s he mos general case ha can be suded as akes no accoun all he forces acng on. When he exernal loads

More information

UNIVERSITAT AUTÒNOMA DE BARCELONA MARCH 2017 EXAMINATION

UNIVERSITAT AUTÒNOMA DE BARCELONA MARCH 2017 EXAMINATION INTERNATIONAL TRADE T. J. KEHOE UNIVERSITAT AUTÒNOMA DE BARCELONA MARCH 27 EXAMINATION Please answer wo of he hree quesons. You can consul class noes, workng papers, and arcles whle you are workng on he

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

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

Response of MDOF systems

Response of MDOF systems Response of MDOF syses Degree of freedo DOF: he nu nuber of ndependen coordnaes requred o deerne copleely he posons of all pars of a syse a any nsan of e. wo DOF syses hree DOF syses he noral ode analyss

More information

EECE251. Circuit Analysis I. Set 4: Capacitors, Inductors, and First-Order Linear Circuits

EECE251. Circuit Analysis I. Set 4: Capacitors, Inductors, and First-Order Linear Circuits EEE25 ircui Analysis I Se 4: apaciors, Inducors, and Firs-Order inear ircuis Shahriar Mirabbasi Deparmen of Elecrical and ompuer Engineering Universiy of Briish olumbia shahriar@ece.ubc.ca Overview Passive

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

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

Implementation of Quantized State Systems in MATLAB/Simulink

Implementation of Quantized State Systems in MATLAB/Simulink SNE T ECHNICAL N OTE Implemenaon of Quanzed Sae Sysems n MATLAB/Smulnk Parck Grabher, Mahas Rößler 2*, Bernhard Henzl 3 Ins. of Analyss and Scenfc Compung, Venna Unversy of Technology, Wedner Haupsraße

More information

Part II CONTINUOUS TIME STOCHASTIC PROCESSES

Part II CONTINUOUS TIME STOCHASTIC PROCESSES Par II CONTINUOUS TIME STOCHASTIC PROCESSES 4 Chaper 4 For an advanced analyss of he properes of he Wener process, see: Revus D and Yor M: Connuous marngales and Brownan Moon Karazas I and Shreve S E:

More information

Digital Variable Frequency Control for Zero Voltage Switching and Interleaving of Synchronous Buck Converters

Digital Variable Frequency Control for Zero Voltage Switching and Interleaving of Synchronous Buck Converters Dgal Varable Frequency Conrol for Zero Volage Swchng and Inerleavng of Synchronous Buck Converers Pål Andreassen, Guseppe Gud, Tore M. Undeland Norwegan Unversy of Scence and Technology, Trondhem, Norway

More information

Including the ordinary differential of distance with time as velocity makes a system of ordinary differential equations.

Including the ordinary differential of distance with time as velocity makes a system of ordinary differential equations. Soluons o Ordnary Derenal Equaons An ordnary derenal equaon has only one ndependen varable. A sysem o ordnary derenal equaons consss o several derenal equaons each wh he same ndependen varable. An eample

More information

THERMODYNAMICS 1. The First Law and Other Basic Concepts (part 2)

THERMODYNAMICS 1. The First Law and Other Basic Concepts (part 2) Company LOGO THERMODYNAMICS The Frs Law and Oher Basc Conceps (par ) Deparmen of Chemcal Engneerng, Semarang Sae Unversy Dhon Harano S.T., M.T., M.Sc. Have you ever cooked? Equlbrum Equlbrum (con.) Equlbrum

More information

Lesson 2 Transmission Lines Fundamentals

Lesson 2 Transmission Lines Fundamentals Lesson Transmsson Lnes Funamenals 楊尚達 Shang-Da Yang Insue of Phooncs Technologes Deparmen of Elecrcal Engneerng Naonal Tsng Hua Unersy Tawan Sec. -1 Inroucon 1. Why o scuss TX lnes srbue crcus?. Crera

More information

PHYS 705: Classical Mechanics. Canonical Transformation

PHYS 705: Classical Mechanics. Canonical Transformation PHYS 705: Classcal Mechancs Canoncal Transformaon Canoncal Varables and Hamlonan Formalsm As we have seen, n he Hamlonan Formulaon of Mechancs,, are ndeenden varables n hase sace on eual foong The Hamlon

More information

Time-interval analysis of β decay. V. Horvat and J. C. Hardy

Time-interval analysis of β decay. V. Horvat and J. C. Hardy Tme-nerval analyss of β decay V. Horva and J. C. Hardy Work on he even analyss of β decay [1] connued and resuled n he developmen of a novel mehod of bea-decay me-nerval analyss ha produces hghly accurae

More information

Relative controllability of nonlinear systems with delays in control

Relative controllability of nonlinear systems with delays in control Relave conrollably o nonlnear sysems wh delays n conrol Jerzy Klamka Insue o Conrol Engneerng, Slesan Techncal Unversy, 44- Glwce, Poland. phone/ax : 48 32 37227, {jklamka}@a.polsl.glwce.pl Keywor: Conrollably.

More information

( t) Outline of program: BGC1: Survival and event history analysis Oslo, March-May Recapitulation. The additive regression model

( t) Outline of program: BGC1: Survival and event history analysis Oslo, March-May Recapitulation. The additive regression model BGC1: Survval and even hsory analyss Oslo, March-May 212 Monday May 7h and Tuesday May 8h The addve regresson model Ørnulf Borgan Deparmen of Mahemacs Unversy of Oslo Oulne of program: Recapulaon Counng

More information

Decentralised Sliding Mode Load Frequency Control for an Interconnected Power System with Uncertainties and Nonlinearities

Decentralised Sliding Mode Load Frequency Control for an Interconnected Power System with Uncertainties and Nonlinearities Inernaonal Research Journal of Engneerng and echnology IRJE e-iss: 2395-0056 Volume: 03 Issue: 12 Dec -2016 www.re.ne p-iss: 2395-0072 Decenralsed Sldng Mode Load Frequency Conrol for an Inerconneced Power

More information

ESTIMATIONS OF RESIDUAL LIFETIME OF ALTERNATING PROCESS. COMMON APPROACH TO ESTIMATIONS OF RESIDUAL LIFETIME

ESTIMATIONS OF RESIDUAL LIFETIME OF ALTERNATING PROCESS. COMMON APPROACH TO ESTIMATIONS OF RESIDUAL LIFETIME Srucural relably. The heory and pracce Chumakov I.A., Chepurko V.A., Anonov A.V. ESTIMATIONS OF RESIDUAL LIFETIME OF ALTERNATING PROCESS. COMMON APPROACH TO ESTIMATIONS OF RESIDUAL LIFETIME The paper descrbes

More information

Revision: June 12, E Main Suite D Pullman, WA (509) Voice and Fax

Revision: June 12, E Main Suite D Pullman, WA (509) Voice and Fax .: apacors Reson: June, 5 E Man Sue D Pullman, WA 9963 59 334 636 Voce an Fax Oerew We begn our suy of energy sorage elemens wh a scusson of capacors. apacors, lke ressors, are passe wo-ermnal crcu elemens.

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

2.1 Constitutive Theory

2.1 Constitutive Theory Secon.. Consuve Theory.. Consuve Equaons Governng Equaons The equaons governng he behavour of maerals are (n he spaal form) dρ v & ρ + ρdv v = + ρ = Conservaon of Mass (..a) d x σ j dv dvσ + b = ρ v& +

More information

FTCS Solution to the Heat Equation

FTCS Solution to the Heat Equation FTCS Soluon o he Hea Equaon ME 448/548 Noes Gerald Reckenwald Porland Sae Unversy Deparmen of Mechancal Engneerng gerry@pdxedu ME 448/548: FTCS Soluon o he Hea Equaon Overvew Use he forward fne d erence

More information

e-journal Reliability: Theory& Applications No 2 (Vol.2) Vyacheslav Abramov

e-journal Reliability: Theory& Applications No 2 (Vol.2) Vyacheslav Abramov June 7 e-ournal Relably: Theory& Applcaons No (Vol. CONFIDENCE INTERVALS ASSOCIATED WITH PERFORMANCE ANALYSIS OF SYMMETRIC LARGE CLOSED CLIENT/SERVER COMPUTER NETWORKS Absrac Vyacheslav Abramov School

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

Comparison of Differences between Power Means 1

Comparison of Differences between Power Means 1 In. Journal of Mah. Analyss, Vol. 7, 203, no., 5-55 Comparson of Dfferences beween Power Means Chang-An Tan, Guanghua Sh and Fe Zuo College of Mahemacs and Informaon Scence Henan Normal Unversy, 453007,

More information

EG Low Voltage CMOS Fully Differential Current Feedback Amplifier with Controllable 3-dB Bandwidth

EG Low Voltage CMOS Fully Differential Current Feedback Amplifier with Controllable 3-dB Bandwidth EG0800330 Low olage CMS Fully Derenal Curren Feedback Ampler wh Conrollable 3dB Bandwdh Ahmed H. Madan 2, Mahmoud A. Ashour, Solman A. Mahmoud 2, and Ahmed M. Solman 3 adaon Engneerng Dep., NCT, EAEA Caro,

More information

, t 1. Transitions - this one was easy, but in general the hardest part is choosing the which variables are state and control variables

, t 1. Transitions - this one was easy, but in general the hardest part is choosing the which variables are state and control variables Opmal Conrol Why Use I - verss calcls of varaons, opmal conrol More generaly More convenen wh consrans (e.g., can p consrans on he dervaves More nsghs no problem (a leas more apparen han hrogh calcls of

More information

Handout # 6 (MEEN 617) Numerical Integration to Find Time Response of SDOF mechanical system Y X (2) and write EOM (1) as two first-order Eqs.

Handout # 6 (MEEN 617) Numerical Integration to Find Time Response of SDOF mechanical system Y X (2) and write EOM (1) as two first-order Eqs. Handou # 6 (MEEN 67) Numercal Inegraon o Fnd Tme Response of SDOF mechancal sysem Sae Space Mehod The EOM for a lnear sysem s M X DX K X F() () X X X X V wh nal condons, a 0 0 ; 0 Defne he followng varables,

More information

Chapter 7 Response of First-order RL and RC Circuits

Chapter 7 Response of First-order RL and RC Circuits Chaper 7 Response of Firs-order RL and RC Circuis 7.- The Naural Response of RL and RC Circuis 7.3 The Sep Response of RL and RC Circuis 7.4 A General Soluion for Sep and Naural Responses 7.5 Sequenial

More information

Pendulum Dynamics. = Ft tangential direction (2) radial direction (1)

Pendulum Dynamics. = Ft tangential direction (2) radial direction (1) Pendulum Dynams Consder a smple pendulum wh a massless arm of lengh L and a pon mass, m, a he end of he arm. Assumng ha he fron n he sysem s proporonal o he negave of he angenal veloy, Newon s seond law

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

Survival Analysis and Reliability. A Note on the Mean Residual Life Function of a Parallel System

Survival Analysis and Reliability. A Note on the Mean Residual Life Function of a Parallel System Communcaons n Sascs Theory and Mehods, 34: 475 484, 2005 Copyrgh Taylor & Francs, Inc. ISSN: 0361-0926 prn/1532-415x onlne DOI: 10.1081/STA-200047430 Survval Analyss and Relably A Noe on he Mean Resdual

More information

8. Basic RL and RC Circuits

8. Basic RL and RC Circuits 8. Basic L and C Circuis This chaper deals wih he soluions of he responses of L and C circuis The analysis of C and L circuis leads o a linear differenial equaion This chaper covers he following opics

More information

National Exams December 2015 NOTES: 04-BS-13, Biology. 3 hours duration

National Exams December 2015 NOTES: 04-BS-13, Biology. 3 hours duration Naonal Exams December 205 04-BS-3 Bology 3 hours duraon NOTES: f doub exss as o he nerpreaon of any queson he canddae s urged o subm wh he answer paper a clear saemen of any assumpons made 2 Ths s a CLOSED

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

Born Oppenheimer Approximation and Beyond

Born Oppenheimer Approximation and Beyond L Born Oppenhemer Approxmaon and Beyond aro Barba A*dex Char Professor maro.barba@unv amu.fr Ax arselle Unversé, nsu de Chme Radcalare LGHT AD Adabac x dabac x nonadabac LGHT AD From Gree dabaos: o be

More information

Volatility Interpolation

Volatility Interpolation Volaly Inerpolaon Prelmnary Verson March 00 Jesper Andreasen and Bran Huge Danse Mares, Copenhagen wan.daddy@danseban.com brno@danseban.com Elecronc copy avalable a: hp://ssrn.com/absrac=69497 Inro Local

More information

PIEZO-TRANSDUCER MODELLING WITH A SWITCHED OUTPUT VOLTAGE: APPLICATION TO ENERGY HARVESTING AND SELF-POWERED VIBRATION CONTROL

PIEZO-TRANSDUCER MODELLING WITH A SWITCHED OUTPUT VOLTAGE: APPLICATION TO ENERGY HARVESTING AND SELF-POWERED VIBRATION CONTROL 19h INTERNATIONAL CONGRESS ON ACOUSTICS MADRID, 2-7 SEPTEMBER 27 PIEZO-TRANSDUCER MODELLING WITH A SWITCHED OUTPUT VOLTAGE: APPLICATION TO ENERGY HARVESTING AND SELF-POWERED VIBRATION CONTROL PACS: 43.4.Tm

More information

WiH Wei He

WiH Wei He Sysem Idenfcaon of onlnear Sae-Space Space Baery odels WH We He wehe@calce.umd.edu Advsor: Dr. Chaochao Chen Deparmen of echancal Engneerng Unversy of aryland, College Par 1 Unversy of aryland Bacground

More information

Dynamic Team Decision Theory. EECS 558 Project Shrutivandana Sharma and David Shuman December 10, 2005

Dynamic Team Decision Theory. EECS 558 Project Shrutivandana Sharma and David Shuman December 10, 2005 Dynamc Team Decson Theory EECS 558 Proec Shruvandana Sharma and Davd Shuman December 0, 005 Oulne Inroducon o Team Decson Theory Decomposon of he Dynamc Team Decson Problem Equvalence of Sac and Dynamc

More information

Li An-Ping. Beijing , P.R.China

Li An-Ping. Beijing , P.R.China A New Type of Cpher: DICING_csb L An-Png Bejng 100085, P.R.Chna apl0001@sna.com Absrac: In hs paper, we wll propose a new ype of cpher named DICING_csb, whch s derved from our prevous sream cpher DICING.

More information

How about the more general "linear" scalar functions of scalars (i.e., a 1st degree polynomial of the following form with a constant term )?

How about the more general linear scalar functions of scalars (i.e., a 1st degree polynomial of the following form with a constant term )? lmcd Lnear ransformaon of a vecor he deas presened here are que general hey go beyond he radonal mar-vecor ype seen n lnear algebra Furhermore, hey do no deal wh bass and are equally vald for any se of

More information

Parameter Estimation of Three-Phase Induction Motor by Using Genetic Algorithm

Parameter Estimation of Three-Phase Induction Motor by Using Genetic Algorithm 360 Journal of Elecrcal Engneerng & Technology Vol. 4, o. 3, pp. 360~364, 009 Parameer Esmaon of Three-Phase Inducon Moor by Usng Genec Algorhm Seesa Jangj and Panhep Laohacha* Absrac Ths paper suggess

More information

Dual Approximate Dynamic Programming for Large Scale Hydro Valleys

Dual Approximate Dynamic Programming for Large Scale Hydro Valleys Dual Approxmae Dynamc Programmng for Large Scale Hydro Valleys Perre Carpener and Jean-Phlppe Chanceler 1 ENSTA ParsTech and ENPC ParsTech CMM Workshop, January 2016 1 Jon work wh J.-C. Alas, suppored

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

MEEN Handout 4a ELEMENTS OF ANALYTICAL MECHANICS

MEEN Handout 4a ELEMENTS OF ANALYTICAL MECHANICS MEEN 67 - Handou 4a ELEMENTS OF ANALYTICAL MECHANICS Newon's laws (Euler's fundamenal prncples of moon) are formulaed for a sngle parcle and easly exended o sysems of parcles and rgd bodes. In descrbng

More information