It is quickly verified that the dynamic response of this system is entirely governed by τ or equivalently the pole s = 1.
|
|
- Arron Logan
- 5 years ago
- Views:
Transcription
1 Tim Domai Prforma I orr o aalyz h im omai rforma of ym, w will xami h hararii of h ouu of h ym wh a ariular iu i ali Th iu w will hoo i a ui iu, ha i u ( < Th Lala raform of hi iu i U ( Thi iu i l bau i i iml i rlaivly ay o xrimally imlm o ym a o imlm o ym imulaio a oai a rih frquy o i ha h Fourir raform of h fuio oai all frquy igal Thu h iu i a igal rih iu oially aabl of roviig a walh of iformaio abou h ym Thi ui iu will b ali o fir, o a highr orr ym i orr o rmi h gral bhavior of h y of ro Fir Orr Sym Coir h ym X ( k G( U ( a uig U ( giv k X ( G( U ( ( Coruig a arial fraio xaio of h ouu, X ( whr k X ( k k ( X ( k Thu x( k I i quikly vrifi ha h yami ro of hi ym i irly govr by or quivally h ol
2 W will labl h im oa of hi fir orr ym By valuaig h yami ar of h ro, h rm , w a omu ha Thi ay ha h iiial valu of h ro i zro a wh ha 63% of h yami hav iia Alo by h im 3, 95% of h yami hav ourr Fially, wh 4 ha la, 98% of h yami ar of h ro ha iaar W a alo o ha k xd ( Thrfor h iiial lo of h ro i k a h lo moooially ra a h am ra a h yami fa Evually h lo bom vry mall a aymoially aroah zro Thi imli ha h ym vually rah a ay a I i imora o rogiz ha a h im oa g mallr, h ol loaio, mov mor o h lf o h ral umbr li Tha i, h ol bom mor gaiv Furhr, a g mallr, h ym ro ffivly g far Thu hr i a fuamal oio bw fa ym ro a ym ol ha ar mor o h lf i h omlx la S Ro S ro of wo fir orr ym 8 l iu m A Tim ( Th figur how h ro o a iu of wo fir orr ym wih iffr im oa Th fir a far roig ym ha a im oa of o Th lowr ym ha a im oa of 33 o I i o ha hi ym ro roughly hr im lowr ha h fir ym
3 So Orr Sym Coir h girig ym X ( G( U ( whr k G( whr h variabl i uually all h ym aural frquy a h variabl i of rfrr o a h amig raio Thi aar form a a b u o ovr ially all oibl alraiv or variaio o ariular o orr ym a Th variaio ilu h followig Uram, ovram a riially am ym Th ol of h ym i aar for ar h roo of h hararii quaio whih ar ( ( ± j ± 4, ± From hi i i ha hr ar hr bai oibilii: < Ur am a Hr hr will b wo omlx ojuga ol wih qual ral ar a omlx ar ha ar gaiv ivr of ah ohr Criially am a Hr hr will b wo ol ha ar iial i h irimia i h quarai form i rily zro Th wo ol will b, > Ovr am a Hr hr will b wo ral ol Th ol will boh b o h gaiv ral axi (for abl ym a hy will b ii Thi a a b ra a h aa or ri ombiaio of wo fir orr ym Aiio of a zro a b If h aual ym i G(, hi a b wri a a b G( Th o rm i xaly a r h aar form, giv ha b k, a h fir rm i imly h Lala vrio of h im rivaiv of h aar form (agai wih a orrio for h gai To vrify hi, rall ha akig h rivaiv i h im omai i quival o mulilyig by i h Lala omai Thu hi ym a b brok io wo ar o ha i xaly quival o h aar form of h roblm a o ha i h rivaiv of h aar form i h im omai
4 Thu if h o rm ha a ivr raform ha i a ayig i wav, h h fir rm will b a ayig oi wav wih a iffr amliu bu h am ay ra a h am oillaio frquy 3 Exlii ol form If h aual ym i wri G( ( (, h hi a b xr a G( ( Thu, uig h rlaio,, k h wo form ar o b quival Furhrmor h ol of h ym a b valua a j, a j I i quikly vrifi ha h ol will alway aar a ihr a of ral ol or a a air of omlx ojuga 4 Ral-imagiary ol form If h aual ym i wri G( ( a b, h hi a b xr a G( a a b Thu, uig h rlaio a a b,, k a b a b h aar a hi form ar fou o b quival I hi form, h ol of h ym ar omu o b a jb, a a jb Thrfor w a ha a, b I ohr wor, h ral ar of h ym ol i ± b ± a a h imagiary ar i 5 Pol-zro lo Th ol a zro of a yami ym a b lo o a omlx la From h loaio of h ol a zro, o a a a of h yami rforma of h urlyig hyial ym For xaml, from h iuio of abiliy aalyi, whr i wa how ha for aymoi abiliy of a ym,
5 R( i < i, l, Thi ay ha h ral ar of all of h ym ol mu b gaiv, or li i h lo lf half la of h omlx la Similarly for BIBO abiliy, h ol of h ym mu li i h o lf half la of h omlx la Th iffr big ha ol wih zro ral ar ar allow Pol wih ral ar qual o zro ar of all margially abl ol i hy imly yami ym mo ha ar o h vrg of iabiliy 6 Prforma rgio Naural frquy For a o orr ym wri i aar form wih ol j, a j, h magiu of h ol i M R( Im( Th magiu i h am for boh ol Subiuig i hi aa, M ( ( ( ( Thu ym wih qual valu for (of all h aural frquy of h ym hav qual magiu for h air of omlx ojuga ol I ohr wor, h ol li o irl r a h origi a of magiu M W uually rri iuio o abl ym, or ho wih ol oly i h lf half la Thu ym of qual aural frquy ar ho wih ol o h mi-irl r a h origi a of magiu M Sym wih aural frqui highr ha hi valu aar oui of h miirl Damig raio Th agl of h ol i giv by R( φ o M ( Th agl of h ohr ol a b fou o b φ φ i h ral ar ar rily h am a h imagiary ar ar gaiv ivr O ubiuio, φ o o ( Th aramr i of all h amig raio of a ym Thu ym wih qual amig raio hav ol ha li alog wo mirror (i h ral axi vor maaig from h origi a agl giv by ± φ ± o ( Sym wih highr amig raio will aar ii h o ha rgio bou by h limiig vor
6 Figur of ral a imagiary ar of ol, li of oa aural frquy a amig raio W oiu h im omai rforma aalyi of o orr ym by xamiig h aliaio of a ui iu o h o orr ym i aar form Tha i, l U ( i U G X ( ( ( Uig ivr Lala raform, w a fi ha i( o( ( x whr whih i of all h am aural frquy, a, whih i qual o h magiu of h ral ar of h ym ol Th ra of hag of hi fuio i giv by o( i( i( o( ( x D Collig rm, ( ( i( i( o( ( x D I i o ha h iiial valu of h ym i ( i( o( ( x Th iiial lo of h ouu i
7 xd ( Alo, h fial valu of h ouu i lim x ( x f S Ro ro of a o orr ym 8 l iu m A 6 4 o: iiial zro lo Tim ( Byo h bai alula arifa of h ouu, h ha of h ro of h ym o a ui iu i ially fi by four aramr: Th ri im, r, whih i fi hr a h fir im h ym ro i vual fial valu afr h aliaio of h iu Thi i a maur of h of ro of h ym Th ak im,, whih i h im a whih h ym rah i high or ak valu afr a iu bfor rurig bak ow a vually lig a a fial valu Thi i alo a maur of h of ro of a ym, a i uually oly u i ojuio wih fiig h ovrhoo i a ym Th maximum rag ovrhoo, M, i fi a how far h ym go a i vual fial valu a h ak afr a iu Thi i a maur of how oillaory h ym i Th lig im,, whih i fi a h im byo whih h ym ay wihi a rifi rag bou of h fial valu afr a iu Thi i a ombi maur of h of ro of h ym a i oillaory aur I i a goo raial maur of how fa h ym a rah a w ay oraig oiio afr a iurbig iu Th ri im, r Thi aramr a b fi i vral way, bu for our uro will b fi a h im afr a iu i ali uil h ym fir ro i vual fial valu Thrfor i orr o omu h ri im, w o fi h fir im a whih x ( x f By obrvig h ym ouu oluio, hi will our wh h rigoomri ar of h ouu ar zro, lavig oly h oa ou fro, whih i rily h fial valu Tha i a h ri im,
8 o( i( By rarragig hi w g a( a( a Thu h ri im a b xr r a Thi fuio a b vry roughly aroxima by 8 r whr h aroximaio ak io aou h oibiliy of xra ol a zro affig h ro of h ym Thu h aroximaio i oly a orvaiv maur Howvr, h aroximaio i uful i ha i mak lar ha h ri im i ially o a fuio of amig raio a all, bu rahr oly a fuio of h ym aural frquy Ri im variaio wih amig r a o f m i r i amig raio Th figur iia h valu β i h fuio β r whr β a
9 I how ha β o o vary igifialy ovr a wi rag of amig raio Thu oirig hi faor a a oa i a raoabl aroximaio I i alo o ha β aar o vary from 4 o Thi i i ora o h ho valu of 8 i h aroximaio, a iffr whih a b aribu o ohr faor uh a xra ol a zro i ral ym Th ak im, Th ak im i aohr maur of h of ro of a ym, muh lik o h ri im I i mo of u i ojuio wih a maur of h maximum ovrhoo of a ym Th ak im i fi a h mom wh h ym rah i maximum valu Thi i quival o ayig wh h lo of h ym rah zro for h fir im afr h iiial i ali Tha i h fir im afr wh ( ( x i( Thi oiio will our wh i( for h o im Th fir im our wh Thu h ak im,, aifi π or π π I a b how ha hi fuio ha rogr variaio wih amig raio ha h ri im, bu alo i i ha h variaio wih aural frquy i rily h am a for ri im Th maximum rag ovrhoo, M Th maximum rag ovrhoo i h larg x, xr a a rag, by whih h ouu of h ym x i fial valu Thi will our a rily h ak im Tha i, h maximum ovrhoo will our wh h ouu i x( o( i( a giv ha π π, π π x( o( i( ( Alo, oig ha h fial valu of h ouu i x f, h x abov h fial valu, ivi by h fial valu, a xr a a rag i
10 M π π % I i o ha h maximum rag ovrhoo i a fuio of amig raio alo, a o o of aural frquy Th ivr fuio for amig raio from ovrhoo a b fou a M l M π l Th lig im, Th lig im i a maur of h im ha i ak bfor h ouu of a ym r a rgio ar o i fial valu a o logr lav ha rgio From xamiaio of h ouu quaiio x( o( i( i i ha h rigoomri rm i h brak will oiuouly oilla wih a oa amliu Thrfor if h ym i o l o om ay a oiio, h xoial rm mu ay o zro To fi h lig im i i uffii o fi h im a whih h xoial rm ha ay o mallr ha h bou rquir for h lig rgio L u fi h lig rgio bou a b abou h fial valu, x f Thu h lig im our a uh ha b A h limi of h oiio, b l(b l( b l( b Tyial valu for h bou ar %, %, a 5 % ig o igr rfr Uig h oiio, h lig im formula a b xliily a a Bou, b % % 5% Slig im formula,
11 Examl A ym of gral form i oru wih X ( G( U (, G( a a ui iu or U ( Th im ro of four vrio of hi ym ar how i h figur Th abl ummariz h im omai rforma rori of h ym a ri by h ig quaio Sym Naural frquy, Damig raio, Ri im, r Pak im, Maximum rag ovrhoo, M / / / /3 / Slig im, 6 S Ro So orr ym ro 4 u li m A Tim (
Control Systems. Transient and Steady State Response.
Corol Sym Trai a Say Sa Ro chibum@oulch.ac.kr Ouli Tim Domai Aalyi orr ym Ui ro Ui ram ro Ui imul ro Chibum L -Soulch Corol Sym Tim Domai Aalyi Afr h mahmaical mol of h ym i obai, aalyi of ym rformac i.
More informationBMM3553 Mechanical Vibrations
BMM3553 Mhaial Vibraio Chapr 3: Damp Vibraio of Sigl Dgr of From Sym (Par ) by Ch Ku Ey Nizwa Bi Ch Ku Hui Fauly of Mhaial Egirig mail: y@ump.u.my Chapr Dripio Ep Ouom Su will b abl o: Drmi h aural frquy
More informationAdvanced Control Theory
Ava Corol Thory Rviw of Corol Sym hibum@oulh.a.kr Irouio o orol Chibum L -Soulh Ava Corol Thory Corol Sym Corol ym: A iroio of omo formig a ym ofiguraio ha will rovi a ir ym ro Targ Tmraur Corollr Tmraur
More informationInfinite Continued Fraction (CF) representations. of the exponential integral function, Bessel functions and Lommel polynomials
Ifii Coiu Fraio CF rraio of h oial igral fuio l fuio a Lol olyoial Coiu Fraio CF rraio a orhogoal olyoial I hi io w rall h rlaio bw ifi rurry rlaio of olyoial orroig orhogoaliy a aroria ifii oiu fraio
More informationBoyce/DiPrima 9 th ed, Ch 7.9: Nonhomogeneous Linear Systems
BoDiPrima 9 h d Ch 7.9: Nohomogou Liar Sm Elmar Diffrial Equaio ad Boudar Valu Prolm 9 h diio William E. Bo ad Rihard C. DiPrima 9 Joh Wil & So I. Th gral hor of a ohomogou m of quaio g g aralll ha of
More information1973 AP Calculus BC: Section I
97 AP Calculus BC: Scio I 9 Mius No Calculaor No: I his amiaio, l dos h aural logarihm of (ha is, logarihm o h bas ).. If f ( ) =, h f ( ) = ( ). ( ) + d = 7 6. If f( ) = +, h h s of valus for which f
More informationNote 6 Frequency Response
No 6 Frqucy Rpo Dparm of Mchaical Egirig, Uivriy Of Sakachwa, 57 Campu Driv, Sakaoo, S S7N 59, Caada Dparm of Mchaical Egirig, Uivriy Of Sakachwa, 57 Campu Driv, Sakaoo, S S7N 59, Caada. alyical Exprio
More informationResponse of LTI Systems to Complex Exponentials
3 Fourir sris coiuous-im Rspos of LI Sysms o Complx Expoials Ouli Cosidr a LI sysm wih h ui impuls rspos Suppos h ipu sigal is a complx xpoial s x s is a complx umbr, xz zis a complx umbr h or h h w will
More informationEE Control Systems LECTURE 11
Up: Moy, Ocor 5, 7 EE 434 - Corol Sy LECTUE Copyrigh FL Lwi 999 All righ rrv POLE PLACEMET A STEA-STATE EO Uig fc, o c ov h clo-loop pol o h h y prforc iprov O c lo lc uil copor o oi goo y- rcig y uyig
More informationECEN620: Network Theory Broadband Circuit Design Fall 2014
ECE60: work Thory Broadbad Circui Dig Fall 04 Lcur 6: PLL Trai Bhavior Sam Palrmo Aalog & Mixd-Sigal Cr Txa A&M Uivriy Aoucm, Agda, & Rfrc HW i du oday by 5PM PLL Trackig Rpo Pha Dcor Modl PLL Hold Rag
More informationChapter4 Time Domain Analysis of Control System
Chpr4 im Domi Alyi of Corol Sym Rouh biliy cririo Sdy rror ri rpo of h fir-ordr ym ri rpo of h cod-ordr ym im domi prformc pcificio h rliohip bw h prformc pcificio d ym prmr ri rpo of highr-ordr ym Dfiiio
More informationPart B: Transform Methods. Professor E. Ambikairajah UNSW, Australia
Par B: rasform Mhods Profssor E. Ambikairaah UNSW, Ausralia Chapr : Fourir Rprsaio of Sigal. Fourir Sris. Fourir rasform.3 Ivrs Fourir rasform.4 Propris.4. Frqucy Shif.4. im Shif.4.3 Scalig.4.4 Diffriaio
More informationINTERNAL MEMORANDUM No. 117 THE SEDIMENT DIGESTER. Gary Parker February, 2004
T. ANTONY FALL LAORATORY UNIVERITY OF MINNEOTA INTERNAL MEMORANDUM No. 7 TE EDIMENT DIGETER Gary Parkr Fruary, 4 TE EDIMENT DIGETER INTRODUCTION Th marial low wa wri i Novmr,. I rr a am o quaify ro orv
More information( A) ( B) ( C) ( D) ( E)
d Smsr Fial Exam Worksh x 5x.( NC)If f ( ) d + 7, h 4 f ( ) d is 9x + x 5 6 ( B) ( C) 0 7 ( E) divrg +. (NC) Th ifii sris ak has h parial sum S ( ) for. k Wha is h sum of h sris a? ( B) 0 ( C) ( E) divrgs
More information) and furthermore all X. The definition of the term stationary requires that the distribution fulfills the condition:
Assigm Thomas Aam, Spha Brumm, Haik Lor May 6 h, 3 8 h smsr, 357, 7544, 757 oblm For R b X a raom variabl havig ormal isribuio wih ma µ a variac σ (his is wri as ~ (,) X. by: R a. Is X ) a urhrmor all
More informationValley Forge Middle School Fencing Project Facilities Committee Meeting February 2016
Valley Forge iddle chool Fencing roject Facilities ommittee eeting February 2016 ummer of 2014 Installation of Fencing at all five istrict lementary chools October 2014 Facilities ommittee and
More informationMath 3301 Homework Set 6 Solutions 10 Points. = +. The guess for the particular P ( ) ( ) ( ) ( ) ( ) ( ) ( ) cos 2 t : 4D= 2
Mah 0 Homwork S 6 Soluions 0 oins. ( ps) I ll lav i o you o vrify ha y os sin = +. Th guss for h pariular soluion and is drivaivs is blow. Noi ha w ndd o add s ono h las wo rms sin hos ar xaly h omplimnary
More informationAn N-Component Series Repairable System with Repairman Doing Other Work and Priority in Repair
Mor ppl Novmbr 8 N-Compo r Rparabl m h Rparma Dog Ohr ork a ror Rpar Jag Yag E-mal: jag_ag7@6om Xau Mg a uo hg ollag arb Normal Uvr Yaq ua Taoao ag uppor b h Fouao or h aural o b prov o Cha 5 uppor b h
More informationPoisson Arrival Process
1 Poisso Arrival Procss Arrivals occur i) i a mmorylss mar ii) [ o arrival durig Δ ] = λδ + ( Δ ) P o [ o arrival durig Δ ] = 1 λδ + ( Δ ) P o P j arrivals durig Δ = o Δ for j = 2,3, ( ) o Δ whr lim =
More informationDEPARTMENT OF ELECTRICAL &ELECTRONICS ENGINEERING SIGNALS AND SYSTEMS. Assoc. Prof. Dr. Burak Kelleci. Spring 2018
DEPARTMENT OF ELECTRICAL &ELECTRONICS ENGINEERING SIGNALS AND SYSTEMS Aoc. Prof. Dr. Burak Kllci Spring 08 OUTLINE Th Laplac Tranform Rgion of convrgnc for Laplac ranform Invr Laplac ranform Gomric valuaion
More informationPoisson Arrival Process
Poisso Arrival Procss Arrivals occur i) i a mmylss mar ii) [ o arrival durig Δ ] = λδ + ( Δ ) P o [ o arrival durig Δ ] = λδ + ( Δ ) P o P j arrivals durig Δ = o Δ f j = 2,3, o Δ whr lim =. Δ Δ C C 2 C
More informationSHINGLETON FOREST AREA Stand Level Information Compartment: 44 Entry Year: 2009
iz y U oy- kg g vg. To. i Ix Mg * "Compm Pk Gloy of Tm" oum lik o wb i fo fuh ipio o fiiio. Coiio ilv. Cii M? Mho Cu Tm. Pio v Pioiy Culul N 1 5 3 13 60 7 50 42 blk pu-wmp ol gowh N 20-29 y (poil o ul)
More information( ) ( ) + = ( ) + ( )
Mah 0 Homwork S 6 Soluions 0 oins. ( ps I ll lav i o you vrify ha h omplimnary soluion is : y ( os( sin ( Th guss for h pariular soluion and is drivaivs ar, +. ( os( sin ( ( os( ( sin ( Y ( D 6B os( +
More informationChapter 3 Linear Equations of Higher Order (Page # 144)
Ma Modr Dirial Equaios Lcur wk 4 Jul 4-8 Dr Firozzama Darm o Mahmaics ad Saisics Arizoa Sa Uivrsi This wk s lcur will covr har ad har 4 Scios 4 har Liar Equaios o Highr Ordr Pag # 44 Scio Iroducio: Scod
More information1. Introduction and notations.
Alyi Ar om plii orml or q o ory mr Rol Gro Lyé olyl Roièr, r i lir ill, B 5 837 Tolo Fr Emil : rolgro@orgr W y hr q o ory mr, o ll h o ory polyomil o gi rm om orhogol or h mr Th mi rl i orml mig plii h
More informationMARTIN COUNTY, FLORIDA
RA 5 OA. RFFY A A RA RVOAL R F 8+8 O 5+ 5+ 5+ ORI 55 OA. RFFY A A RA RVOAL R 8 F 5+ O 8+8 ROFIL ORIZ: = VR: = 5 ROFIL 5 5 5 5 5+ 5+ 5+ 5+ + 5+ 8+ + + + 8+ 8+ 8+ 8+ + 5+ 8+ 5+ - --A 8-K @.5 -K @.5 -K @.5
More informationPractice papers A and B, produced by Edexcel in 2009, with mark schemes. Practice Paper A. 5 cosh x 2 sinh x = 11,
Prai paprs A ad B, produd by Edl i 9, wih mark shms Prai Papr A. Fid h valus of for whih 5 osh sih =, givig your aswrs as aural logarihms. (Toal 6 marks) k. A = k, whr k is a ral osa. 9 (a) Fid valus of
More informationx, x, e are not periodic. Properties of periodic function: 1. For any integer n,
Chpr Fourir Sri, Igrl, d Tror. Fourir Sri A uio i lld priodi i hr i o poiiv ur p uh h p, p i lld priod o R i,, r priodi uio.,, r o priodi. Propri o priodi uio:. For y igr, p. I d g hv priod p, h h g lo
More informationContinous system: differential equations
/6/008 Coious sysm: diffrial quaios Drmiisic modls drivaivs isad of (+)-( r( compar ( + ) R( + r ( (0) ( R ( 0 ) ( Dcid wha hav a ffc o h sysm Drmi whhr h paramrs ar posiiv or gaiv, i.. giv growh or rducio
More informationTransfer function and the Laplace transformation
Lab No PH-35 Porland Sa Univriy A. La Roa Tranfr funcion and h Laplac ranformaion. INTRODUTION. THE LAPLAE TRANSFORMATION L 3. TRANSFER FUNTIONS 4. ELETRIAL SYSTEMS Analyi of h hr baic paiv lmn R, and
More information3.2. Derivation of Laplace Transforms of Simple Functions
3. aplac Tarform 3. PE TRNSFORM wid rag of girig ym ar modld mahmaically by uig diffrial quaio. I gral, h diffrial quaio of h ordr ym i wri: d y( a d d d y( dy( a a y( f( (3. d Which i alo ow a a liar
More informationBoyce/DiPrima/Meade 11 th ed, Ch 4.1: Higher Order Linear ODEs: General Theory
Bo/DiPima/Mad h d Ch.: High Od Lia ODEs: Gal Tho Elma Diffial Eqaios ad Boda Val Poblms h diio b William E. Bo Rihad C. DiPima ad Dog Mad 7 b Joh Wil & Sos I. A h od ODE has h gal fom d d P P P d d W assm
More informationEEE 304 Test 1 NAME: solutions
EEE 4 NAME: olio Probl : For h oio i ih rafr fio. Fi h rgio of ovrg of orrpoig o:.. a abl... a aal.. Cop h i p rpo x, aig ha i i aal. / / / / } { } {R, }; {R, } {. } {R : }, R { :. L L L L Y L Y x L Caali
More informationPhysics 302 Exam Find the curve that passes through endpoints (0,0) and (1,1) and minimizes 1
Physis Exam 6. Fid th urv that passs through dpoits (, ad (, ad miimizs J [ y' y ]dx Solutio: Si th itgrad f dos ot dpd upo th variabl of itgratio x, w will us th sod form of Eulr s quatio: f f y' y' y
More informationChapter 6. PID Control
Char 6 PID Conrol PID Conrol Mo ommon onrollr in h CPI. Cam ino u in 930 wih h inroduion of numai onrollr. Exrmly flxibl and owrful onrol algorihm whn alid rorly. Gnral Fdbak Conrol Loo D G d Y E C U +
More information82A Engineering Mathematics
Class Nos 5: Sod Ordr Diffrial Eqaio No Homoos 8A Eiri Mahmais Sod Ordr Liar Diffrial Eqaios Homoos & No Homoos v q Homoos No-homoos q ar iv oios fios o h o irval I Sod Ordr Liar Diffrial Eqaios Homoos
More information2. The Laplace Transform
Th aac Tranorm Inroucion Th aac ranorm i a unamna an vry uu oo or uying many nginring robm To in h aac ranorm w conir a comx variab σ, whr σ i h ra ar an i h imaginary ar or ix vau o σ an w viw a a oin
More informationInstructors Solution for Assignment 3 Chapter 3: Time Domain Analysis of LTIC Systems
Inrucor Soluion for Aignmn Chapr : Tim Domain Anali of LTIC Sm Problm i a 8 x x wih x u,, an Zro-inpu rpon of h m: Th characriic quaion of h LTIC m i i 8, which ha roo a ± j Th zro-inpu rpon i givn b zi
More informationa dt a dt a dt dt If 1, then the poles in the transfer function are complex conjugates. Let s look at f t H t f s / s. So, for a 2 nd order system:
Undrdamd Sysms Undrdamd Sysms nd Ordr Sysms Ouu modld wih a nd ordr ODE: d y dy a a1 a0 y b f If a 0 0, hn: whr: a d y a1 dy b d y dy y f y f a a a 0 0 0 is h naural riod of oscillaion. is h daming facor.
More information15. Numerical Methods
S K Modal' 5. Numrical Mhod. Th quaio + 4 4 i o b olvd uig h Nwo-Rapho mhod. If i ak a h iiial approimaio of h oluio, h h approimaio uig hi mhod will b [EC: GATE-7].(a (a (b 4 Nwo-Rapho iraio chm i f(
More informationTrigonometric Formula
MhScop g of 9 FORMULAE SHEET If h lik blow r o-fucioig ihr Sv hi fil o your hrd driv (o h rm lf of h br bov hi pg for viwig off li or ju coll dow h pg. [] Trigoomry formul. [] Tbl of uful rigoomric vlu.
More informationFourier Series: main points
BIOEN 3 Lcur 6 Fourir rasforms Novmbr 9, Fourir Sris: mai pois Ifii sum of sis, cosis, or boh + a a cos( + b si( All frqucis ar igr mulipls of a fudamal frqucy, o F.S. ca rprs ay priodic fucio ha w ca
More informationGRAPHS IN SCIENCE. drawn correctly, the. other is not. Which. Best Fit Line # one is which?
5 9 Bt Ft L # 8 7 6 5 GRAPH IN CIENCE O of th thg ot oft a rto of a xrt a grah of o k. A grah a vual rrtato of ural ata ollt fro a xrt. o of th ty of grah you ll f ar bar a grah. Th o u ot oft a l grah,
More informationJonathan Turner Exam 2-12/4/03
CS 41 Algorim an Program Prolm Exam Soluion S Soluion Jonaan Turnr Exam -1/4/0 10/8/0 1. (10 poin) T igur low ow an implmnaion o ynami r aa ruur wi vral virual r. Sow orrponing o aual r (owing vrx o).
More informationNumerical Simulation for the 2-D Heat Equation with Derivative Boundary Conditions
IOSR Joural of Applid Chmisr IOSR-JAC -ISSN: 78-576.Volum 9 Issu 8 Vr. I Aug. 6 PP 4-8 www.iosrjourals.org Numrical Simulaio for h - Ha Equaio wih rivaiv Boudar Codiios Ima. I. Gorial parm of Mahmaics
More informationPupil / Class Record We can assume a word has been learned when it has been either tested or used correctly at least three times.
2 Pupi / Css Rr W ssum wr hs b r wh i hs b ihr s r us rry s hr ims. Nm: D Bu: fr i bus brhr u firs hf hp hm s uh i iv iv my my mr muh m w ih w Tik r pp push pu sh shu sisr s sm h h hir hr hs im k w vry
More informationMulti-fluid magnetohydrodynamics in the solar atmosphere
Mul-flud magohydrodyams h solar amoshr Tmuraz Zaqarashvl თეიმურაზ ზაქარაშვილი Sa Rsarh Isu of Ausra Aadmy of Ss Graz Ausra ISSI-orksho Parally ozd lasmas asrohyss 6 Jauary- Fbruary 04 ISSI-orksho Parally
More informationLINEAR 2 nd ORDER DIFFERENTIAL EQUATIONS WITH CONSTANT COEFFICIENTS
Diol Bgyoko (0) I.INTRODUCTION LINEAR d ORDER DIFFERENTIAL EQUATIONS WITH CONSTANT COEFFICIENTS I. Dfiiio All suh diffril quios s i h sdrd or oil form: y + y + y Q( x) dy d y wih y d y d dx dx whr,, d
More informationDecline Curves. Exponential decline (constant fractional decline) Harmonic decline, and Hyperbolic decline.
Dlin Curvs Dlin Curvs ha lo flow ra vs. im ar h mos ommon ools for forasing roduion and monioring wll rforman in h fild. Ths urvs uikly show by grahi mans whih wlls or filds ar roduing as xd or undr roduing.
More informationCS 326e F2002 Lab 1. Basic Network Setup & Ethereal Time: 2 hrs
CS 326 F2002 Lab 1. Bai Nwk Sup & Ehal Tim: 2 h Tak: 1 (10 mi) Vify ha TCP/IP i iall ah f h mpu 2 (10 mi) C h mpu gh via a wih 3 (10 mi) Obv h figuai f ah f h NIC f ah mpu 4 (10 mi) Saially figu a IP a
More informationP a g e 5 1 of R e p o r t P B 4 / 0 9
P a g e 5 1 of R e p o r t P B 4 / 0 9 J A R T a l s o c o n c l u d e d t h a t a l t h o u g h t h e i n t e n t o f N e l s o n s r e h a b i l i t a t i o n p l a n i s t o e n h a n c e c o n n e
More informationImproved estimation of population variance using information on auxiliary attribute in simple random sampling. Rajesh Singh and Sachin Malik
Imrovd imaio of oulaio variac uig iformaio o auxiliar ariu i iml radom amlig Rajh igh ad achi alik Darm of aiic, Baara Hidu Uivri Varaai-5, Idia (righa@gmail.com, achikurava999@gmail.com) Arac igh ad Kumar
More informationChapter 7 Stead St y- ate Errors
Char 7 Say-Sa rror Inroucon Conrol ym analy an gn cfcaon a. rann ron b. Sably c. Say-a rror fnon of ay-a rror : u c a whr u : nu, c: ouu Val only for abl ym chck ym ably fr! nu for ay-a a nu analy U o
More informationReliability Mathematics Analysis on Traction Substation Operation
WSES NSCIONS o HEICS Hoh S lal aha al o rao Sao Orao HONSHEN SU Shool o oao a Elral Er azho Jaoo Ur azho 77..CHIN h@6.o ra: - I lr ralwa rao owr l h oraoal qal a rlal o h a rao raorr loo hhr o o o oaral
More informationWhy Laplace transforms?
MAE4 Linar ircui Why Lalac ranform? Firordr R cc v v v KVL S R inananou for ach Subiu lmn rlaion v S Ordinary diffrnial quaion in rm of caacior volag Lalac ranform Solv Invr LT V u, v Ri, i A R V A _ v
More informationMAT3700. Tutorial Letter 201/2/2016. Mathematics III (Engineering) Semester 2. Department of Mathematical sciences MAT3700/201/2/2016
MAT3700/0//06 Tuorial Lr 0//06 Mahmaics III (Egirig) MAT3700 Smsr Dparm of Mahmaical scics This uorial lr coais soluios ad aswrs o assigms. BARCODE CONTENTS Pag SOLUTIONS ASSIGNMENT... 3 SOLUTIONS ASSIGNMENT...
More informationFinal Exam : Solutions
Comp : Algorihm and Daa Srucur Final Exam : Soluion. Rcuriv Algorihm. (a) To bgin ind h mdian o {x, x,... x n }. Sinc vry numbr xcp on in h inrval [0, n] appar xacly onc in h li, w hav ha h mdian mu b
More informationAdvanced Engineering Mathematics, K.A. Stroud, Dexter J. Booth Engineering Mathematics, H.K. Dass Higher Engineering Mathematics, Dr. B.S.
Rfrc: (i) (ii) (iii) Advcd Egirig Mhmic, K.A. Sroud, Dxr J. Booh Egirig Mhmic, H.K. D Highr Egirig Mhmic, Dr. B.S. Grwl Th mhod of m Thi coi of h followig xm wih h giv coribuio o h ol. () Mid-rm xm : 3%
More informationTime : 1 hr. Test Paper 08 Date 04/01/15 Batch - R Marks : 120
Tim : hr. Tst Papr 8 D 4//5 Bch - R Marks : SINGLE CORRECT CHOICE TYPE [4, ]. If th compl umbr z sisfis th coditio z 3, th th last valu of z is qual to : z (A) 5/3 (B) 8/3 (C) /3 (D) o of ths 5 4. Th itgral,
More informationLecture 4: Laplace Transforms
Lur 4: Lapla Transforms Lapla and rlad ransformaions an b usd o solv diffrnial quaion and o rdu priodi nois in signals and imags. Basially, hy onvr h drivaiv opraions ino mulipliaion, diffrnial quaions
More informationMixing time with Coupling
Mixig im wih Couplig Jihui Li Mig Zhg Saisics Dparm May 7 Goal Iroducio o boudig h mixig im for MCMC wih couplig ad pah couplig Prsig a simpl xampl o illusra h basic ida Noaio M is a Markov chai o fii
More information(A) 1 (B) 1 + (sin 1) (C) 1 (sin 1) (D) (sin 1) 1 (C) and g be the inverse of f. Then the value of g'(0) is. (C) a. dx (a > 0) is
[STRAIGHT OBJECTIVE TYPE] l Q. Th vlu of h dfii igrl, cos d is + (si ) (si ) (si ) Q. Th vlu of h dfii igrl si d whr [, ] cos cos Q. Vlu of h dfii igrl ( si Q. L f () = d ( ) cos 7 ( ) )d d g b h ivrs
More informationNEWBERRY FOREST MGT UNIT Stand Level Information Compartment: 10 Entry Year: 2001
iz oy- kg vg. To. 1 M 6 M 10 11 100 60 oh hwoo uvg N o hul 0 Mix bg. woo, moly low quliy. Coif ompo houghou - WP/hmlok/pu/blm/. vy o whi pi o h ouh fig of. iffiul o. Th o hi i o PVT l wh h g o wll big
More informationWhat Is the Difference between Gamma and Gaussian Distributions?
Applid Mahmaics,,, 85-89 hp://ddoiorg/6/am Publishd Oli Fbruary (hp://wwwscirporg/joural/am) Wha Is h Diffrc bw Gamma ad Gaussia Disribuios? iao-li Hu chool of Elcrical Egirig ad Compur cic, Uivrsiy of
More informationCopyright 2012 Pearson Education, Inc. Publishing as Prentice Hall.
Chapr Rviw 0 6. ( a a ln a. This will qual a if an onl if ln a, or a. + k an (ln + c. Thrfor, a an valu of, whr h wo curvs inrsc, h wo angn lins will b prpnicular. 6. (a Sinc h lin passs hrough h origin
More informationDesign and Analysis of Algorithms (Autumn 2017)
Din an Analyi o Alorim (Auumn 2017) Exri 3 Soluion 1. Sor pa Ain om poiiv an naiv o o ar o rap own low, o a Bllman-For in a or pa. Simula ir alorim a ru prolm o a layr DAG ( li), or on a an riv rom rurrn.
More informationThe Exile Began. Family Journal Page. God Called Jeremiah Jeremiah 1. Preschool. below. Tell. them too. Kids. Ke Passage: Ezekiel 37:27
Faily Jo Pag Th Exil Bg io hy u c prof b jo ou Shar ab ou job ab ar h o ay u Yo ra u ar u r a i A h ) ar par ( grp hav h y y b jo i crib blo Tll ri ir r a r gro up Allo big u r a i Rvi h b of ha u ha a
More informationWeb-appendix 1: macro to calculate the range of ( ρ, for which R is positive definite
Wb-basd Supplmary Marials for Sampl siz cosidraios for GEE aalyss of hr-lvl clusr radomizd rials by Sv Trsra, Big Lu, oh S. Prissr, Tho va Achrbrg, ad Gorg F. Borm Wb-appdix : macro o calcula h rag of
More information1.7 Vector Calculus 2 - Integration
cio.7.7 cor alculus - Igraio.7. Ordiary Igrals o a cor A vcor ca b igrad i h ordiary way o roduc aohr vcor or aml 5 5 d 6.7. Li Igrals Discussd hr is h oio o a dii igral ivolvig a vcor ucio ha gras a scalar.
More informationEEE 304 Test 1 NAME:
EEE 0 NME: For h oio i ih rafr fio 0.. Fi h rgio of ovrg of orrpoig o:.. a abl... a aal.. Cop h i p rpo x aig ha i i abl..: { 0. R }. : { 0. R } : 0. { aal / / 0. aal 0. aal { 0. R } {0 R } Probl : For
More informationRight Angle Trigonometry
Righ gl Trigoomry I. si Fs d Dfiiios. Righ gl gl msurig 90. Srigh gl gl msurig 80. u gl gl msurig w 0 d 90 4. omplmry gls wo gls whos sum is 90 5. Supplmry gls wo gls whos sum is 80 6. Righ rigl rigl wih
More informationEconomics 302 (Sec. 001) Intermediate Macroeconomic Theory and Policy (Spring 2011) 3/28/2012. UW Madison
Economics 302 (Sc. 001) Inrmdia Macroconomic Thory and Policy (Spring 2011) 3/28/2012 Insrucor: Prof. Mnzi Chinn Insrucor: Prof. Mnzi Chinn UW Madison 16 1 Consumpion Th Vry Forsighd dconsumr A vry forsighd
More informationChapter 5 The Laplace Transform. x(t) input y(t) output Dynamic System
EE 422G No: Chapr 5 Inrucor: Chung Chapr 5 Th Laplac Tranform 5- Inroducion () Sym analyi inpu oupu Dynamic Sym Linar Dynamic ym: A procor which proc h inpu ignal o produc h oupu dy ( n) ( n dy ( n) +
More informationConventional Hot-Wire Anemometer
Convnonal Ho-Wr Anmomr cro Ho Wr Avanag much mallr prob z mm o µm br paal roluon array o h nor hghr rquncy rpon lowr co prormanc/co abrcaon roc I µm lghly op p layr 8µm havly boron op ch op layr abrcaon
More informationDetection of cracks in concrete and evaluation of freeze-thaw resistance using contrast X-ray
Fraur Mhai Cor a Cor Sruur - Am Durabiliy Moiorig a Rriig Cor Sruur- B. H. Oh al. () 2 Kora Cor Iiu Soul ISBN 978-89-578-8-5 Dio rak i or a valuaio frz-ha ria uig ora X-ray M. Taka & K. Ouka Tohoku Gakui
More informationStability. Outline Stability Sab Stability of Digital Systems. Stability for Continuous-time Systems. system is its stability:
Oulie Sabiliy Sab Sabiliy of Digial Syem Ieral Sabiliy Exeral Sabiliy Example Roo Locu v ime Repoe Fir Orer Seco Orer Sabiliy e Jury e Rouh Crierio Example Sabiliy A very impora propery of a yamic yem
More information8. Queueing systems. Contents. Simple teletraffic model. Pure queueing system
8. Quug sysms Cos 8. Quug sysms Rfrshr: Sml lraffc modl Quug dscl M/M/ srvr wag lacs Alcao o ack lvl modllg of daa raffc M/M/ srvrs wag lacs lc8. S-38.45 Iroduco o Tlraffc Thory Srg 5 8. Quug sysms 8.
More informationChapter 2 Infinite Series Page 1 of 11. Chapter 2 : Infinite Series
Chatr Ifiit Sris Pag of Sctio F Itgral Tst Chatr : Ifiit Sris By th d of this sctio you will b abl to valuat imror itgrals tst a sris for covrgc by alyig th itgral tst aly th itgral tst to rov th -sris
More informationz 1+ 3 z = Π n =1 z f() z = n e - z = ( 1-z) e z e n z z 1- n = ( 1-z/2) 1+ 2n z e 2n e n -1 ( 1-z )/2 e 2n-1 1-2n -1 1 () z
Sris Expasio of Rciprocal of Gamma Fuctio. Fuctios with Itgrs as Roots Fuctio f with gativ itgrs as roots ca b dscribd as follows. f() Howvr, this ifiit product divrgs. That is, such a fuctio caot xist
More information1a.- Solution: 1a.- (5 points) Plot ONLY three full periods of the square wave MUST include the principal region.
INEL495 SIGNALS AND SYSEMS FINAL EXAM: Ma 9, 8 Pro. Doigo Rodrígz SOLUIONS Probl O: Copl Epoial Forir Sri A priodi ri ar wav l ad a daal priod al o o od. i providd wi a a 5% d a.- 5 poi: Plo r ll priod
More informationPhys463.nb Conductivity. Another equivalent definition of the Fermi velocity is
39 Anohr quival dfiniion of h Fri vlociy is pf vf (6.4) If h rgy is a quadraic funcion of k H k L, hs wo dfiniions ar idical. If is NOT a quadraic funcion of k (which could happ as will b discussd in h
More information1985 AP Calculus BC: Section I
985 AP Calculus BC: Sctio I 9 Miuts No Calculator Nots: () I this amiatio, l dots th atural logarithm of (that is, logarithm to th bas ). () Ulss othrwis spcifid, th domai of a fuctio f is assumd to b
More informationChapter Five. More Dimensions. is simply the set of all ordered n-tuples of real numbers x = ( x 1
Chatr Fiv Mor Dimsios 51 Th Sac R W ar ow rard to mov o to sacs of dimsio gratr tha thr Ths sacs ar a straightforward gralizatio of our Euclida sac of thr dimsios Lt b a ositiv itgr Th -dimsioal Euclida
More informationA Review of Complex Arithmetic
/0/005 Rviw of omplx Arithmti.do /9 A Rviw of omplx Arithmti A omplx valu has both a ral ad imagiary ompot: { } ad Im{ } a R b so that w a xprss this omplx valu as: whr. a + b Just as a ral valu a b xprssd
More informationChapter 12 Introduction To The Laplace Transform
Chapr Inroducion To Th aplac Tranorm Diniion o h aplac Tranorm - Th Sp & Impul uncion aplac Tranorm o pciic uncion 5 Opraional Tranorm Applying h aplac Tranorm 7 Invr Tranorm o Raional uncion 8 Pol and
More informationEEE 303: Signals and Linear Systems
33: Sigls d Lir Sysms Orhogoliy bw wo sigls L us pproim fucio f () by fucio () ovr irvl : f ( ) = c( ); h rror i pproimio is, () = f() c () h rgy of rror sigl ovr h irvl [, ] is, { }{ } = f () c () d =
More informationDouble Slits in Space and Time
Doubl Slis in Sac an Tim Gorg Jons As has bn ror rcnly in h mia, a am l by Grhar Paulus has monsra an inrsing chniqu for ionizing argon aoms by using ulra-shor lasr ulss. Each lasr uls is ffcivly on an
More informationAnalysis of Non-Sinusoidal Waveforms Part 2 Laplace Transform
Aalyi o No-Siuoidal Wavorm Par Laplac raorm I h arlir cio, w lar ha h Fourir Sri may b wri i complx orm a ( ) C jω whr h Fourir coici C i giv by o o jωo C ( ) d o I h ymmrical orm, h Fourir ri i wri wih
More informationOverview. Splay trees. Balanced binary search trees. Inge Li Gørtz. Self-adjusting BST (Sleator-Tarjan 1983).
Ovrvw B r rh r: R-k r -3-4 r 00 Ig L Gør Amor Dm rogrmmg Nwork fow Srg mhg Srg g Comuo gomr Irouo o NP-om Rom gorhm B r rh r -3-4 r Aow,, or 3 k r o Prf Evr h from roo o f h m gh mr h E w E R E R rgr h
More informationELG3150 Assignment 3
ELG350 Aigmt 3 Aigmt 3: E5.7; P5.6; P5.6; P5.9; AP5.; DP5.4 E5.7 A cotrol ytm for poitioig th had of a floppy dik driv ha th clodloop trafr fuctio 0.33( + 0.8) T ( ) ( + 0.6)( + 4 + 5) Plot th pol ad zro
More informationConsider serial transmission. In Proakis notation, we receive
5..3 Dciio-Dirctd Pha Trackig [P 6..4] 5.-1 Trackr commoly work o radom data igal (plu oi), o th kow-igal modl do ot apply. W till kow much about th tructur o th igal, though, ad w ca xploit it. Coidr
More informationMEM 355 Performance Enhancement of Dynamical Systems A First Control Problem - Cruise Control
MEM 355 Prformanc Enhancmn of Dynamical Sysms A Firs Conrol Problm - Cruis Conrol Harry G. Kwany Darmn of Mchanical Enginring & Mchanics Drxl Univrsiy Cruis Conrol ( ) mv = F mg sinθ cv v +.2v= u 9.8θ
More informationUNIT I FOURIER SERIES T
UNIT I FOURIER SERIES PROBLEM : Th urig mom T o h crkh o m gi i giv or ri o vu o h crk g dgr 6 9 5 8 T 5 897 785 599 66 Epd T i ri o i. Souio: L T = i + i + i +, Sic h ir d vu o T r rpd gc o T T i T i
More informationwhere: u: input y: output x: state vector A, B, C, D are const matrices
Sa pac modl: linar: y or in om : Sa q : f, u Oupu q : y h, u u Du F Gu y H Ju whr: u: inpu y: oupu : a vcor,,, D ar con maric Eampl " $ & ' " $ & 'u y " & * * * * [ ],, D H D I " $ " & $ ' " & $ ' " &
More informationLaplace Transforms recap for ccts
Lalac Tranform rca for cc Wha h big ida?. Loo a iniial condiion ron of cc du o caacior volag and inducor currn a im Mh or nodal analyi wih -domain imdanc rianc or admianc conducanc Soluion of ODE drivn
More informationQueueing Analysis of SPJ Queries over Continuous Data Streams
parm of Compur Si a girig Uivriy of Txa a Arligo Arligo, TX 769 Quuig Aalyi of SJ Quri ovr Coiuou aa Sram Qighu Jiag a Sharma Charavarhy {jiag, harma}@.ua.u Thial Rpor CS-3- Quuig Aalyi of SJ Quri ovr
More informationSilv. Criteria Met? Condition
GWINN FORET MGT UNIT Ifomio Compm: 254 Ey Y: 29 iz y oy- kg g vg. To. i 1 5 M 3 24 47 7 4 55 p (upl) immu N 1-19 y Poo quliy off i p. Wi gig okig. 2 R 6 M 1 3 42 8 13 57 pi immu N 1-19 y Plio h om mio
More informationYuriy V. Trifonov, Doctor of Economics Professor, Dean of Economic Faculty Nizhniy Novgorod State University n.a. N.I. Lobachevsky, Russia
Iraioal Joural of Bui a Social Scic Vol 2 No 21 [Scial Iu Novmbr 2011] PLANNING AN INVESTMENT PROGRAM OF A OMPANY IN VIEW OF REINVESTMENT OPPORTUNITIES Yuriy V Trifoov, ocor of Ecoomic Profor, a of Ecoomic
More informationBoyce/DiPrima 9 th ed, Ch 7.8: Repeated Eigenvalues
Boy/DiPrima 9 h d Ch 7.8: Rpad Eignvalus Elmnary Diffrnial Equaions and Boundary Valu Problms 9 h diion by William E. Boy and Rihard C. DiPrima 9 by John Wily & Sons In. W onsidr again a homognous sysm
More information