Chapter 9 - The Laplace Transform
|
|
- Natalie Strickland
- 6 years ago
- Views:
Transcription
1 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 5 σ = 5 =. Saring wih he efiniion of he Laplace ranform, Soluion 9-
2 ( ())= = () L g G g e, fin he Laplace ranform of hee ignal. () (a) x e u (b) x e co π u () (c) x ramp Uing () x e u () = () = X x e ramp e e ax ax e xe x = ( ax ) a e X ( ) =, Re > ( ) σ () 3. Uing he ime-hifing propery, fin he Laplace ranform of hee ignal. () ( ) (a) x u u ( ) 3 (b) x 3e u ( ) 3 (c) x 3e u 3 3u() L Uing he ime hifing propery, L 3u( ) 3e 3 L 3e 3e u( ) 3 ( 3) Alernae oluion: 6 3( ) x 3e e u ( ) Uing he ime hifing propery, Soluion 9-
3 ( ) X () x 5in π u 3e e 3 3e = Uing he complex-frequency-hifing propery, fin an kech he invere Laplace ranform of X ( j ) 3 ( j) Uing he ime-caling propery, fin he Laplace ranform of hee ignal. (a) x δ( ) (b) x u u (), Re> L L u ( ) =, Re> 6. Uing he ime-iffereniaion propery, fin he Laplace ranform of hee ignal. (a) x u () (b) x u e () L ( g() ) G g ( ) u (), Re> L ( u() ) u, ( )= All (c) x in π u () x co 5π u L = Soluion 9-3
4 7. Uing muliplicaion-convoluion ualiy, fin he Laplace ranform of hee ignal an kech he ignal veru ime. () () (a) x e u u () (b) x e in π u u e in π u u L π π () π π π π A B π = Muliply hrough by, le approach infiniy an olve for A. Afer fining A, le = an olve for B, X π π π ( ) ( π) π ( ) ( π ) π x e co π π π (c) x 8co u u u [ ] () () ( ) [ ] () ( ) () x 8co π u u u Afer ime, =, he oluion i zero. in π π u () 8. Uing he iniial an final value heorem, fin he iniial an final value (if poible) of he ignal whoe Laplace ranform are hee funcion. Iniial Value Theorem Final Value Theorem g= limg() limg limg (), if limg() exi (a) X 8, One pole in open LHP x( )= lim 8 = Soluion 9-
5 lim x lim = 8 an he limi exi becaue he only pole of X 8 i in he open LHP (b) X 3, Pole a 3± j 3 (c) X, Pole a ± j x( )= lim = Final-value heorem oe no apply becaue here are wo pole on he ω axi () (e) (f) X X X, Pole a 5 ± j , Pole a an - ( ) 8, Double pole a zero. 9. Fin he invere Laplace ranform of hee funcion. (a) X 8 X ( )= () 8 x 3 e u (b) X 3 (c) X 5 6 () X ( 6 ) X = ( 3) 6 ( 3) ( 3) 6 Soluion 9-5
6 (e) X 6 X A B C D 6 6 = Uing he cover up meho, A =. 58. Uing K qk = ( m k)! m k m ( p ) H, k =,,, m m k q p q [ ( )] = B = = 6 6! ( ) 6 C D X 6 6 = Muliply hrough by an le approach infiniy, C C. 5 = =. 5 X D ( ) = 6 ( 3) 6 Then le =. X 8 8 = D X 6 8 D. 78 = = = = ( 3) 6 8 ( 3) 6 Soluion 9-6
7 3 55 x e co( ) in( ) u () (f) X 3 (g) X 3 (h) (i) X X (j) X j5 j5 j j j X 5 x e e u j j (). Uing a able of Laplace ranform, fin he CTFT of hee ignal. () (a) x e u 5 (b) x 3e co π u. Uing he Laplace ranform, olve hee ifferenial equaion for. (a) x ( ) x u(), x = () X x X X = 9 e X 9 x u () Soluion 9-7
8 Checking iniial coniion, x = which agree wih he iniial coniion, x( )=. For hi yem an hi exciaion he repone canno change inananeouly., x ( )=, x() = (b) x ( ) x ( ) x u() π, x = (c) x ( ) x in( ) u( ). Uing he Laplace ranform, fin an kech he ime-omain repone, y(), of he yem wih hee ranfer funcion o he inuoial exciaion, x Aco π u. = (a) H Y A π π A = π ( π ) π π π ( π ) (b) H ( ) 6 Y A = A ( ) 6 ( π) ( ) 6 ( π) 6 π Y ( ) π π π 3 Y Uing MATLAB,»X Tranfer funcion: ^ 987»H Soluion 9-8
9 Tranfer funcion: ^ -»Y Tranfer funcion: ^ ^ - ^3 7 ^ e»[z,p,k] = zpkaa(y,'v') ;»z z =»p p = i i..i. -.i r = i i i i Y Y Y. A. 6 j. 6. j. 6 6 jπ jπ A. 6 j j. 3 j j A ( π ) ( ) 6 Y. A ( π ) π π π [ ] ( π ) { } () y. A e co. 95in co π 5. in π u Soluion 9-9
10 y() Wrie he ifferenial equaion ecribing hee yem an fin an kech he inicae repone. (a) x u (), y x() () i he repone, y = y() The oluion i coninuou a = becaue, if i were no he iconinuiy woul caue an impule on he lef-han ie of he equaion which coul no be equae o he ep exciaion on he righ-han ie. (b) v =, v() i he repone R = kω C = µf v() - CV v Cv ( ) () = R [ () ] () = V v R V C = C R RC Soluion 9-
11 () > RC v e u e u, ( )= = ( ). Check. v v The oluion i coninuou a = becaue he capacior volage canno change inananeouly. x(). () () (). Fin he hree par, x ac, x an xc, of he following ignal. () ( ) (a) x e u e u (b) x K x e u, x, x e u ac = () c () (c) x u () x u () 5. Fin he bilaeral Laplace ranform of hee ignal. () ( ) 7 (a) x 3e u e u 7 3 xc 3e u X c, Re 7 () ()> x X xac e u( ) xac( )= e u() X ac( )=, Re()> X ac, Re()< 3 X = 3 5, < Re()< Soluion 9-
12 (b) x e 5 6. Fin he repone, y(), of hee yem o hee exciaion. () 5 (a) h e u () ( ) 7, x 3e u e u (), x e u() (b) h ri Uing L e e ri (), All e e H, Therefore e Y All an X, Re()> e e e = ( ), Re()> Y ( e e ), Re()> y y () ( ) ramp ramp ramp u( ) u() u( ) ( ) ( ) e u( ) e u() e u( ) [ ramp( ) e ] u( ) [ ramp() e ] u() ( ) [ ramp( ) e ] u( ) () (c) h e u, x e 5 7. Skech he pole-zero plo an region of convergence (if i exi) for hee ignal. ( ) () (a) x e u e u ( ) () (b) x e u e u Soluion 9-
13 8. Uing he inegral efiniion fin he he unilaeral Laplace ranform of hee ime funcion. () a (a) g e u ( ) > (b) g e a τ u τ, τ ( ) > (c) g e a τ u τ, τ () () g in u ω () (e) g rec (f) g rec aτ aτ G e, a e ( a) e = τ > a 9. Uing MATLAB (or any oher appropriae compuer mahemaic ool) o he inverion inegral of G numerically. Tha i, approximae he inverion inegral wih a ummaion of he form N n e g() L ( G() )= jπ n=n n n = jπ N σ jn ω e = Nσ jn ω n j ω, σ >. Chooe he combinaion of large N an mall ω o ha he ummaion will range over a conour from well below o well above he real axi. Plo g() veru by compuing he value of g() a every value of from he above ummaion approximaion o he inverion inegral. Compare o he analyical reul. Try a lea hree ifferen value of σ o ee he effec on he reul. (Ieally here i no effec of changing σ a long a i i greaer han -, bu acually, in hi numerical approximaion, here will be ome mall effec.) % Program o emonrae he invere Laplace ranform numerically. cloe all ; au =. ; w = ; p = -/au ; w = w*[-:]' ; = j*w*one(lengh(w),) ; allin = [] ; for igma = :5, = igma j*w ; in = [] ; v = [] ; for = -au*:au/:au*, Soluion 9-3
14 f = exp(.*)./( - p) ; v = [v;] ; in = [in;um(f.*)/(j**pi)] ; en in = real(in) ; allin = [allin,in] ; en ubplo(3,,) ; h = plo(v, allin(:,), 'k') ; e(h, 'LineWih',) ; xlabel('time, ()') ; ylabel('h()') ; ile('igma = ') ; gri ; axi([-.,., -., ]) ; ubplo(3,,) ; h = plo(v, allin(:,), 'k') ; e(h, 'LineWih',) ; xlabel('time, ()') ; ylabel('h()') ; ile('igma = ') ; gri ; axi([-.,., -., ]) ; ubplo(3,,3) ; h = plo(v, allin(:,3), 'k') ; e(h, 'LineWih',) ; xlabel('time, ()') ; ylabel('h()') ; ile('igma = ') ; gri ; axi([-.,., -., ]) ; ubplo(3,,) ; h = plo(v, allin(:,), 'k') ; e(h, 'LineWih',) ; xlabel('time, ()') ; ylabel('h()') ; ile('igma = 3') ; gri ; axi([-.,., -., ]) ; ubplo(3,,5) ; h = plo(v, allin(:,5), 'k') ; e(h, 'LineWih',) ; xlabel('time, ()') ; ylabel('h()') ; ile('igma = ') ; gri ; axi([-.,., -., ]) ; ubplo(3,,6) ; h = plo(v, allin(:,6), 'k') ; e(h, 'LineWih',) ; xlabel('time, ()') ; ylabel('h()') ; ile('igma = 5') ; gri ; axi([-.,., -., ]) ;. Uing a able of unilaeral Laplace ranform an he properie fin he unilaeral Laplace ranform of he following funcion. ( ) (a) g 5in π u ( ) (b) g 5in π u Therefore (c) g co π co π u Ue he rigonomeric ieniy, ( ) in( π)= in π L πe 5in( π) u( ) π co( π) co( π)= [ co( ππ) co( π π) ], hen complee he oluion a uual. Soluion 9-
15 () g u ( ) (e) g u τ τ τ (f) g 5e u ( τ), τ > Ue hee properie: Frequency Shifing Time Shifing Lineariy Time Differeniaion Once 5 (g) g e co π u π (h) x 5in π u 8. Given () fin he Laplace ranform of (a) g X π π π co in π L g() (b) ( g( ) ) L Time Differeniaion Once ( g() ) g ( ) ( ) ( g() ) L g ( ) = Iniial Value Theorem g limg ( g( ) ) L L 3 ( g( ) ) Soluion 9-5
16 (Thi i correc if g g (c) g( ) ( )= ( ). Tha i, if g i coninuou a ime, =.) () () () g g. Fin he ime-omain funcion which are he invere Laplace ranform of hee funcion. Then, uing he iniial an final value heorem verify ha hey agree wih he ime-omain funcion. (a) G 3 8 ( ) g e e u 5 5 () limg lim e e u() 5 5 = lim G lim, 3 8 ( ) = Check. (b) G lim g lim e e u() = 5 5 limg lim, ( 3) ( 8) = Check. (c) G 3 8 ( ) () 3. Given G e e u L () G fin he invere Laplace ranform of (a) G 3 Frequency Scaling 3e 3 L u G 3 3e u 3 3e u (b) G( ) G( ) (c). The CTFT of = () G() Soluion 9-6
17 exi bu he (unilaeral) Laplace ranform oe no. Why? x 5. Compare he CTFT an he Laplace ranform of a uni ep. Why can he CTFT no be foun from he Laplace ranform? e u() jω πδ ω an u () L F 6. Show ha he common Laplace ranform pair L α L α L u (), e u (), e u() α L ω in( ω ) u (), co ω u ω L () α ω α e in( ω ) u (), e co ω u α ω α ω L L () ( α) α can be erive from only he impule ranformaion, δ () L, an he properie of he Laplace ranform. ω u() L : Inegraion g τ τ G ( ) L e α e α u() : α L u() α L L δ λ λ u() L α Frequency Shifing e u() α : L Soluion 9-7
18 () in ω u () co ω u α e in ω u L ω ω : L ω : L ω α ( ) () : ω α e co ω u L () α ( α) ω : 7. Given an LTI yem ranfer funcion, H(), fin he ime-omain repone, y() o he exciaion, x (). (a) x in( π) u ( ), H= () 3 (b) x u, H (c) x u, H () 3 () () x u, H 5 = (e) x in π u, H 5 X π ( π ) Y Y Leing be zero, π 5 = π π ( π ) [ ] A B C D π π ( π ) [ ] = B D π = Muliplying hrough by an leing approach infiniy, = A C Soluion 9-8
19 Leing =, π = A B C D. π π 5 Leing =, π = A B π ( π) C D. Arranging he equaion in marix form, ( π ) A π B = 5 5 π ( π) ( π) C π D π ( π ) ( π ) Solving, where A B = C D. 8 Y Y ( π ) π. 7 π π ( π ).. ( ) ( ) { [ ]} [ ] () () y co π. 3353in π. 7535e co. 67in 8. Wrie he ifferenial equaion ecribing hee yem an fin an kech he inicae repone. (), y (a) x u () i he repone, y = 5, ( y( ) ) = = Soluion 9-9
20 x() y() Y ( ) ( ) 9 Boh he repone an i fir erivaive mu be coninuou in repone o a ep exciaion becaue of he ouble inegraion beween exciaion an repone. (), v (b) i u () i he repone, No iniial energy orage i() R = kω i () C = 3 µf R = kω C = µf v() - v i() C v ( ) () C v R = 3 { i() v v v C v R R 3 () () volage acro R volage acro curren ource Combining equaion, ( ( ) ) () RRCC v ( ) RC R R C v v R i RRCC V RC R R C V V ( ( ) ) () () R V ( ) = Soluion 9-
21 (c) i co π u, v() i he repone, No iniial energy orage i() R = kω i () C = 3 µf R = kω C = µf v() - From par (b) ( ( ) ) () RRCC v ( ) RC R R C v v R i RRCC V RC R R C V V R ( ) () () ( π ) 666 π V 396. π π π () () () 9. Fin he hree par, x ac, x an xc, of he following ignal. (a) x (b) x in ω (c) x gn () x δ () x, x, x ac () δ 3. Fin he bilaeral Laplace ranform of hee ignal. c () (a) x rec () () x c rec u e e e X c e =, = = Any x X Soluion 9-
22 x rec() u( ) x ( )= rec u ac ac e e e X ac( )= e =, = = Any e e X ac =, Any j j j j j in e e e e e e X = = = j j = inc, π Any ω Noice ha if we make he change of variable, = jω, we ge X( jω)= inc π which i he CTFT of x rec convergence i he enire plane. () (b) x rec in π () ( ) (c) x e u e u in π () an hi i allowe becaue he region of [ ] Soluion 9-
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 informationTo 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 informationChapter 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 informationEE 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 informationChapter 6. Laplace Transforms
Chaper 6. Laplace Tranform Kreyzig by YHLee;45; 6- An ODE i reduced o an algebraic problem by operaional calculu. The equaion i olved by algebraic manipulaion. The reul i ranformed back for he oluion of
More information13.1 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 information18.03SC Unit 3 Practice Exam and Solutions
Sudy Guide on Sep, Dela, Convoluion, Laplace You can hink of he ep funcion u() a any nice mooh funcion which i for < a and for > a, where a i a poiive number which i much maller han any ime cale we care
More informationSample 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 informationLaplace 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 information6.8 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 informationWeb Appendix N - Derivations of the Properties of the LaplaceTransform
M. J. Robers - 2/18/07 Web Appenix N - Derivaions of he Properies of he aplacetransform N.1 ineariy e z= x+ y where an are consans. Then = x+ y Zs an he lineariy propery is N.2 Time Shifing es = xe s +
More informationRepresenting a Signal. Continuous-Time Fourier Methods. Linearity and Superposition. Real and Complex Sinusoids. Jean Baptiste Joseph Fourier
Represening a Signal Coninuous-ime ourier Mehods he convoluion mehod for finding he response of a sysem o an exciaion aes advanage of he lineariy and imeinvariance of he sysem and represens he exciaion
More informationChapter 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 informationCONTROL SYSTEMS. Chapter 3 Mathematical Modelling of Physical Systems-Laplace Transforms. Prof.Dr. Fatih Mehmet Botsalı
CONTROL SYSTEMS Chaper Mahemaical Modelling of Phyical Syem-Laplace Tranform Prof.Dr. Faih Mehme Boalı Definiion Tranform -- a mahemaical converion from one way of hinking o anoher o make a problem eaier
More informationCHAPTER. Forced Equations and Systems { } ( ) ( ) 8.1 The Laplace Transform and Its Inverse. Transforms from the Definition.
CHAPTER 8 Forced Equaion and Syem 8 The aplace Tranform and I Invere Tranform from he Definiion 5 5 = b b {} 5 = 5e d = lim5 e = ( ) b {} = e d = lim e + e d b = (inegraion by par) = = = = b b ( ) ( )
More informationEECE 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 informations-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 informationEE202 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 informationQ1) [20 points] answer for the following questions (ON THIS SHEET):
Dr. Anas Al Tarabsheh The Hashemie Universiy Elecrical and Compuer Engineering Deparmen (Makeup Exam) Signals and Sysems Firs Semeser 011/01 Final Exam Dae: 1/06/01 Exam Duraion: hours Noe: means convoluion
More informationCHAPTER 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 informationExponential 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 informationContinuous Time. Time-Domain System Analysis. Impulse Response. Impulse Response. Impulse Response. Impulse Response. ( t) + b 0.
Time-Domain Sysem Analysis Coninuous Time. J. Robers - All Righs Reserved. Edied by Dr. Rober Akl 1. J. Robers - All Righs Reserved. Edied by Dr. Rober Akl 2 Le a sysem be described by a 2 y ( ) + a 1
More informationEECE 301 Signals & Systems Prof. Mark Fowler
EECE 31 Signals & Sysems Prof. Mark Fowler Noe Se #1 C-T Sysems: Convoluion Represenaion Reading Assignmen: Secion 2.6 of Kamen and Heck 1/11 Course Flow Diagram The arrows here show concepual flow beween
More informationThe Laplace Transform
The Laplace Transform Previous basis funcions: 1, x, cosx, sinx, exp(jw). New basis funcion for he LT => complex exponenial funcions LT provides a broader characerisics of CT signals and CT LTI sysems
More informationCONTROL 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 informationChapter Three Systems of Linear Differential Equations
Chaper Three Sysems of Linear Differenial Equaions In his chaper we are going o consier sysems of firs orer orinary ifferenial equaions. These are sysems of he form x a x a x a n x n x a x a x a n x n
More informationChapter 4 The Fourier Series and Fourier Transform
Represenaion of Signals in Terms of Frequency Componens Chaper 4 The Fourier Series and Fourier Transform Consider he CT signal defined by x () = Acos( ω + θ ), = The frequencies `presen in he signal are
More informationEECE 301 Signals & Systems Prof. Mark Fowler
EECE 3 Signals & Sysems Prof. Mark Fowler Noe Se #2 Wha are Coninuous-Time Signals??? Reading Assignmen: Secion. of Kamen and Heck /22 Course Flow Diagram The arrows here show concepual flow beween ideas.
More informationChapter 8 The Complete Response of RL and RC Circuits
Chaper 8 The Complee Response of RL and RC Circuis Seoul Naional Universiy Deparmen of Elecrical and Compuer Engineering Wha is Firs Order Circuis? Circuis ha conain only one inducor or only one capacior
More informationMore on ODEs by Laplace Transforms October 30, 2017
More on OE b Laplace Tranfor Ocober, 7 More on Ordinar ifferenial Equaion wih Laplace Tranfor Larr areo Mechanical Engineering 5 Seinar in Engineering nali Ocober, 7 Ouline Review la cla efiniion of Laplace
More informationDesign of Controller for Robot Position Control
eign of Conroller for Robo oiion Conrol Two imporan goal of conrol: 1. Reference inpu racking: The oupu mu follow he reference inpu rajecory a quickly a poible. Se-poin racking: Tracking when he reference
More informationInterpolation and Pulse Shaping
EE345S Real-Time Digial Signal Proceing Lab Spring 2006 Inerpolaion and Pule Shaping Prof. Brian L. Evan Dep. of Elecrical and Compuer Engineering The Univeriy of Texa a Auin Lecure 7 Dicree-o-Coninuou
More informationThe Fundamental Theorems of Calculus
FunamenalTheorems.nb 1 The Funamenal Theorems of Calculus You have now been inrouce o he wo main branches of calculus: ifferenial calculus (which we inrouce wih he angen line problem) an inegral calculus
More informationLAPLACE TRANSFORM AND TRANSFER FUNCTION
CHBE320 LECTURE V LAPLACE TRANSFORM AND TRANSFER FUNCTION Professor Dae Ryook Yang Spring 2018 Dep. of Chemical and Biological Engineering 5-1 Road Map of he Lecure V Laplace Transform and Transfer funcions
More informationLaplace transfom: t-translation rule , Haynes Miller and Jeremy Orloff
Laplace ransfom: -ranslaion rule 8.03, Haynes Miller and Jeremy Orloff Inroducory example Consider he sysem ẋ + 3x = f(, where f is he inpu and x he response. We know is uni impulse response is 0 for
More informationES 250 Practice Final Exam
ES 50 Pracice Final Exam. Given ha v 8 V, a Deermine he values of v o : 0 Ω, v o. V 0 Firs, v o 8. V 0 + 0 Nex, 8 40 40 0 40 0 400 400 ib i 0 40 + 40 + 40 40 40 + + ( ) 480 + 5 + 40 + 8 400 400( 0) 000
More informationCHAPTER 12 DIRECT CURRENT CIRCUITS
CHAPTER 12 DIRECT CURRENT CIUITS DIRECT CURRENT CIUITS 257 12.1 RESISTORS IN SERIES AND IN PARALLEL When wo resisors are conneced ogeher as shown in Figure 12.1 we said ha hey are conneced in series. As
More informationContinuous Time Linear Time Invariant (LTI) Systems. Dr. Ali Hussein Muqaibel. Introduction
/9/ Coninuous Time Linear Time Invarian (LTI) Sysems Why LTI? Inroducion Many physical sysems. Easy o solve mahemaically Available informaion abou analysis and design. We can apply superposiion LTI Sysem
More informationCHAPTER 3 SIGNALS & SYSTEMS. z -transform in the z -plane will be (A) 1 (B) 1 (D) (C) . The unilateral Laplace transform of tf() (A) s (B) + + (D) (C)
CHAPER SIGNALS & SYSEMS YEAR ONE MARK n n MCQ. If xn [ ] (/) (/) un [ ], hen he region of convergence (ROC) of i z ranform in he z plane will be (A) < z < (B) < z < (C) < z < (D) < z MCQ. he unilaeral
More informationLecture 13 RC/RL Circuits, Time Dependent Op Amp Circuits
Lecure 13 RC/RL Circuis, Time Dependen Op Amp Circuis RL Circuis The seps involved in solving simple circuis conaining dc sources, resisances, and one energy-sorage elemen (inducance or capaciance) are:
More informationLaplace Transforms. Examples. Is this equation differential? y 2 2y + 1 = 0, y 2 2y + 1 = 0, (y ) 2 2y + 1 = cos x,
Laplace Transforms Definiion. An ordinary differenial equaion is an equaion ha conains one or several derivaives of an unknown funcion which we call y and which we wan o deermine from he equaion. The equaion
More informationDelhi Noida Bhopal Hyderabad Jaipur Lucknow Indore Pune Bhubaneswar Kolkata Patna Web: Ph:
Serial : 0. ND_NW_EE_Signal & Sysems_4068 Delhi Noida Bhopal Hyderabad Jaipur Lucknow Indore Pune Bhubaneswar Kolkaa Pana Web: E-mail: info@madeeasy.in Ph: 0-4546 CLASS TEST 08-9 ELECTRICAL ENGINEERING
More informationMath 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 informationLaplace Transform and its Relation to Fourier Transform
Chaper 6 Laplace Transform and is Relaion o Fourier Transform (A Brief Summary) Gis of he Maer 2 Domains of Represenaion Represenaion of signals and sysems Time Domain Coninuous Discree Time Time () [n]
More informationInstrumentation & Process Control
Chemical Engineering (GTE & PSU) Poal Correpondence GTE & Public Secor Inrumenaion & Proce Conrol To Buy Poal Correpondence Package call a -999657855 Poal Coure ( GTE & PSU) 5 ENGINEERS INSTITUTE OF INDI.
More informationSolutions - Midterm Exam
DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING, THE UNIVERITY OF NEW MEXICO ECE-34: ignals and ysems ummer 203 PROBLEM (5 PT) Given he following LTI sysem: oluions - Miderm Exam a) kech he impulse response
More informationu(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 informationMath 334 Fall 2011 Homework 11 Solutions
Dec. 2, 2 Mah 334 Fall 2 Homework Soluions Basic Problem. Transform he following iniial value problem ino an iniial value problem for a sysem: u + p()u + q() u g(), u() u, u () v. () Soluion. Le v u. Then
More informationSignals and Systems Profs. Byron Yu and Pulkit Grover Fall Midterm 1 Solutions
8-90 Signals and Sysems Profs. Byron Yu and Pulki Grover Fall 07 Miderm Soluions Name: Andrew ID: Problem Score Max 0 8 4 6 5 0 6 0 7 8 9 0 6 Toal 00 Miderm Soluions. (0 poins) Deermine wheher he following
More informationMon Apr 2: Laplace transform and initial value problems like we studied in Chapter 5
Mah 225-4 Week 2 April 2-6 coninue.-.3; alo cover par of.4-.5, EP 7.6 Mon Apr 2:.-.3 Laplace ranform and iniial value problem like we udied in Chaper 5 Announcemen: Warm-up Exercie: Recall, The Laplace
More informationIntegral representations and new generating functions of Chebyshev polynomials
Inegral represenaions an new generaing funcions of Chebyshev polynomials Clemene Cesarano Faculy of Engineering, Inernaional Telemaic Universiy UNINETTUNO Corso Viorio Emanuele II, 39 186 Roma, Ialy email:
More informationCHAPTER 7. Definition and Properties. of Laplace Transforms
SERIES OF CLSS NOTES FOR 5-6 TO INTRODUCE LINER ND NONLINER PROBLEMS TO ENGINEERS, SCIENTISTS, ND PPLIED MTHEMTICINS DE CLSS NOTES COLLECTION OF HNDOUTS ON SCLR LINER ORDINRY DIFFERENTIL EQUTIONS (ODE")
More informationReading from Young & Freedman: For this topic, read sections 25.4 & 25.5, the introduction to chapter 26 and sections 26.1 to 26.2 & 26.4.
PHY1 Elecriciy Topic 7 (Lecures 1 & 11) Elecric Circuis n his opic, we will cover: 1) Elecromoive Force (EMF) ) Series and parallel resisor combinaions 3) Kirchhoff s rules for circuis 4) Time dependence
More information2.7. Some common engineering functions. Introduction. Prerequisites. Learning Outcomes
Some common engineering funcions 2.7 Inroducion This secion provides a caalogue of some common funcions ofen used in Science and Engineering. These include polynomials, raional funcions, he modulus funcion
More informationcan be viewed as a generalized product, and one for which the product of f and g. That is, does
Boyce/DiPrim 9 h e, Ch 6.6: The Convoluion Inegrl Elemenry Differenil Equion n Bounry Vlue Problem, 9 h eiion, by Willim E. Boyce n Richr C. DiPrim, 9 by John Wiley & Son, Inc. Someime i i poible o wrie
More information( ) ( ) if t = t. It must satisfy the identity. So, bulkiness of the unit impulse (hyper)function is equal to 1. The defining characteristic is
UNIT IMPULSE RESPONSE, UNIT STEP RESPONSE, STABILITY. Uni impulse funcion (Dirac dela funcion, dela funcion) rigorously defined is no sricly a funcion, bu disribuion (or measure), precise reamen requires
More informationIntroduction to SLE Lecture Notes
Inroducion o SLE Lecure Noe May 13, 16 - The goal of hi ecion i o find a ufficien condiion of λ for he hull K o be generaed by a imple cure. I urn ou if λ 1 < 4 hen K i generaed by a imple curve. We will
More information6.302 Feedback Systems Recitation 4: Complex Variables and the s-plane Prof. Joel L. Dawson
Number 1 quesion: Why deal wih imaginary and complex numbers a all? One answer is ha, as an analyical echnique, hey make our lives easier. Consider passing a cosine hrough an LTI filer wih impulse response
More information23.2. Representing Periodic Functions by Fourier Series. Introduction. Prerequisites. Learning Outcomes
Represening Periodic Funcions by Fourier Series 3. Inroducion In his Secion we show how a periodic funcion can be expressed as a series of sines and cosines. We begin by obaining some sandard inegrals
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
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 information6.003 Homework #9 Solutions
6.003 Homework #9 Soluions Problems. Fourier varieies a. Deermine he Fourier series coefficiens of he following signal, which is periodic in 0. x () 0 3 0 a 0 5 a k a k 0 πk j3 e 0 e j πk 0 jπk πk e 0
More informationCHAPTER 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 informationFrom Complex Fourier Series to Fourier Transforms
Topic From Complex Fourier Series o Fourier Transforms. Inroducion In he previous lecure you saw ha complex Fourier Series and is coeciens were dened by as f ( = n= C ne in! where C n = T T = T = f (e
More informationt is a basis for the solution space to this system, then the matrix having these solutions as columns, t x 1 t, x 2 t,... x n t x 2 t...
Mah 228- Fri Mar 24 5.6 Marix exponenials and linear sysems: The analogy beween firs order sysems of linear differenial equaions (Chaper 5) and scalar linear differenial equaions (Chaper ) is much sronger
More informationINDEX. Transient analysis 1 Initial Conditions 1
INDEX Secion Page Transien analysis 1 Iniial Condiions 1 Please inform me of your opinion of he relaive emphasis of he review maerial by simply making commens on his page and sending i o me a: Frank Mera
More informationEECE 301 Signals & Systems Prof. Mark Fowler
EECE 3 Signals & Sysems Prof. Mark Fowler Noe Se # Wha are Coninuous-Time Signals??? /6 Coninuous-Time Signal Coninuous Time (C-T) Signal: A C-T signal is defined on he coninuum of ime values. Tha is:
More informationEE 301 Lab 2 Convolution
EE 301 Lab 2 Convoluion 1 Inroducion In his lab we will gain some more experience wih he convoluion inegral and creae a scrip ha shows he graphical mehod of convoluion. 2 Wha you will learn This lab will
More informationSingle 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 informationSOLUTIONS TO ECE 3084
SOLUTIONS TO ECE 384 PROBLEM 2.. For each sysem below, specify wheher or no i is: (i) memoryless; (ii) causal; (iii) inverible; (iv) linear; (v) ime invarian; Explain your reasoning. If he propery is no
More informationProblem 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 informationUT Austin, ECE Department VLSI Design 5. CMOS Gate Characteristics
La moule: CMOS Tranior heory Thi moule: DC epone Logic Level an Noie Margin Tranien epone Delay Eimaion Tranior ehavior 1) If he wih of a ranior increae, he curren will ) If he lengh of a ranior increae,
More information1 Motivation and Basic Definitions
CSCE : Deign and Analyi of Algorihm Noe on Max Flow Fall 20 (Baed on he preenaion in Chaper 26 of Inroducion o Algorihm, 3rd Ed. by Cormen, Leieron, Rive and Sein.) Moivaion and Baic Definiion Conider
More informationChapter 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 informationMATH 4330/5330, Fourier Analysis Section 6, Proof of Fourier s Theorem for Pointwise Convergence
MATH 433/533, Fourier Analysis Secion 6, Proof of Fourier s Theorem for Poinwise Convergence Firs, some commens abou inegraing periodic funcions. If g is a periodic funcion, g(x + ) g(x) for all real x,
More information6.003 Homework #9 Solutions
6.00 Homework #9 Soluions Problems. Fourier varieies a. Deermine he Fourier series coefficiens of he following signal, which is periodic in 0. x () 0 0 a 0 5 a k sin πk 5 sin πk 5 πk for k 0 a k 0 πk j
More information6 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 informationFinal Spring 2007
.615 Final Spring 7 Overview The purpose of he final exam is o calculae he MHD β limi in a high-bea oroidal okamak agains he dangerous n = 1 exernal ballooning-kink mode. Effecively, his corresponds o
More informationChapter One Fourier Series and Fourier Transform
Chaper One I. Fourier Series Represenaion of Periodic Signals -Trigonomeric Fourier Series: The rigonomeric Fourier series represenaion of a periodic signal x() x( + T0 ) wih fundamenal period T0 is given
More informationNODIA AND COMPANY. GATE SOLVED PAPER Electrical Engineering SIGNALS & SYSTEMS. Copyright By NODIA & COMPANY
No par of hi publicaion may be reproduced or diribued in any form or any mean, elecronic, mechanical, phoocopying, or oherie ihou he prior permiion of he auhor. GAE SOLVED PAPER Elecrical Engineering SIGNALS
More informationEXERCISES FOR SECTION 1.5
1.5 Exisence and Uniqueness of Soluions 43 20. 1 v c 21. 1 v c 1 2 4 6 8 10 1 2 2 4 6 8 10 Graph of approximae soluion obained using Euler s mehod wih = 0.1. Graph of approximae soluion obained using Euler
More informationSerial : 4LS1_A_EC_Signal & Systems_230918
Serial : LS_A_EC_Signal & Syem_8 CLASS TEST (GATE) Delhi oida Bhopal Hyderabad Jaipur Lucknow Indore Pune Bhubanewar Kolkaa Pana Web: E-mail: info@madeeay.in Ph: -56 CLASS TEST 8- ELECTROICS EGIEERIG Subjec
More informationEECE.3620 Signal and System I
EECE.360 Signal and Sysem I Hengyong Yu, PhD Associae Professor Deparmen of Elecrical and Compuer Engineering Universiy of Massachuses owell EECE.360 Signal and Sysem I Ch.9.4. Geomeric Evaluaion of he
More information!!"#"$%&#'()!"#&'(*%)+,&',-)./0)1-*23)
"#"$%&#'()"#&'(*%)+,&',-)./)1-*) #$%&'()*+,&',-.%,/)*+,-&1*#$)()5*6$+$%*,7&*-'-&1*(,-&*6&,7.$%$+*&%'(*8$&',-,%'-&1*(,-&*6&,79*(&,%: ;..,*&1$&$.$%&'()*1$$.,'&',-9*(&,%)?%*,('&5
More information8. 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 informationDirect Current Circuits. February 19, 2014 Physics for Scientists & Engineers 2, Chapter 26 1
Direc Curren Circuis February 19, 2014 Physics for Scieniss & Engineers 2, Chaper 26 1 Ammeers and Volmeers! A device used o measure curren is called an ammeer! A device used o measure poenial difference
More informationChapter 2 The Derivative Applied Calculus 107. We ll need a rule for finding the derivative of a product so we don t have to multiply everything out.
Chaper The Derivaive Applie Calculus 107 Secion 4: Prouc an Quoien Rules The basic rules will le us ackle simple funcions. Bu wha happens if we nee he erivaive of a combinaion of hese funcions? Eample
More informationPhys1112: DC and RC circuits
Name: Group Members: Dae: TA s Name: Phys1112: DC and RC circuis Objecives: 1. To undersand curren and volage characerisics of a DC RC discharging circui. 2. To undersand he effec of he RC ime consan.
More informationHamilton- J acobi Equation: Explicit Formulas In this lecture we try to apply the method of characteristics to the Hamilton-Jacobi equation: u t
M ah 5 2 7 Fall 2 0 0 9 L ecure 1 0 O c. 7, 2 0 0 9 Hamilon- J acobi Equaion: Explici Formulas In his lecure we ry o apply he mehod of characerisics o he Hamilon-Jacobi equaion: u + H D u, x = 0 in R n
More informationAdvanced Integration Techniques: Integration by Parts We may differentiate the product of two functions by using the product rule:
Avance Inegraion Techniques: Inegraion by Pars We may iffereniae he prouc of wo funcions by using he prouc rule: x f(x)g(x) = f (x)g(x) + f(x)g (x). Unforunaely, fining an anierivaive of a prouc is no
More informationt )? How would you have tried to solve this problem in Chapter 3?
Exercie 9) Ue Laplace ranform o wrie down he oluion o 2 x x = F in x = x x = v. wha phenomena do oluion o hi DE illurae (even hough we're forcing wih in co )? How would you have ried o olve hi problem
More informationMath 2142 Exam 1 Review Problems. x 2 + f (0) 3! for the 3rd Taylor polynomial at x = 0. To calculate the various quantities:
Mah 4 Eam Review Problems Problem. Calculae he 3rd Taylor polynomial for arcsin a =. Soluion. Le f() = arcsin. For his problem, we use he formula f() + f () + f ()! + f () 3! for he 3rd Taylor polynomial
More information1 CHAPTER 14 LAPLACE TRANSFORMS
CHAPTER 4 LAPLACE TRANSFORMS 4 nroducion f x) i a funcion of x, where x lie in he range o, hen he funcion p), defined by p) px e x) dx, 4 i called he Laplace ranform of x) However, in hi chaper, where
More informationPiecewise-Defined Functions and Periodic Functions
28 Piecewie-Defined Funcion and Periodic Funcion A he ar of our udy of he Laplace ranform, i wa claimed ha he Laplace ranform i paricularly ueful when dealing wih nonhomogeneou equaion in which he forcing
More information1 1 + x 2 dx. tan 1 (2) = ] ] x 3. Solution: Recall that the given integral is improper because. x 3. 1 x 3. dx = lim dx.
. Use Simpson s rule wih n 4 o esimae an () +. Soluion: Since we are using 4 seps, 4 Thus we have [ ( ) f() + 4f + f() + 4f 3 [ + 4 4 6 5 + + 4 4 3 + ] 5 [ + 6 6 5 + + 6 3 + ]. 5. Our funcion is f() +.
More informationMATH 31B: MIDTERM 2 REVIEW. x 2 e x2 2x dx = 1. ue u du 2. x 2 e x2 e x2] + C 2. dx = x ln(x) 2 2. ln x dx = x ln x x + C. 2, or dx = 2u du.
MATH 3B: MIDTERM REVIEW JOE HUGHES. Inegraion by Pars. Evaluae 3 e. Soluion: Firs make he subsiuion u =. Then =, hence 3 e = e = ue u Now inegrae by pars o ge ue u = ue u e u + C and subsiue he definiion
More informationChapter 8 Objectives
haper 8 Engr8 ircui Analyi Dr uri Nelon haper 8 Objecive Be able o eermine he naural an he ep repone of parallel circui; Be able o eermine he naural an he ep repone of erie circui. Engr8 haper 8, Nilon
More informationSolutions from Chapter 9.1 and 9.2
Soluions from Chaper 9 and 92 Secion 9 Problem # This basically boils down o an exercise in he chain rule from calculus We are looking for soluions of he form: u( x) = f( k x c) where k x R 3 and k is
More informationSection 3.5 Nonhomogeneous Equations; Method of Undetermined Coefficients
Secion 3.5 Nonhomogeneous Equaions; Mehod of Undeermined Coefficiens Key Terms/Ideas: Linear Differenial operaor Nonlinear operaor Second order homogeneous DE Second order nonhomogeneous DE Soluion o homogeneous
More informationLAPLACE TRANSFORMS. 1. Basic transforms
LAPLACE TRANSFORMS. Bic rnform In hi coure, Lplce Trnform will be inroduced nd heir properie exmined; ble of common rnform will be buil up; nd rnform will be ued o olve ome dierenil equion by rnforming
More informationLet. x y. denote a bivariate time series with zero mean.
Linear Filer Le x y : T denoe a bivariae ime erie wih zero mean. Suppoe ha he ime erie {y : T} i conruced a follow: y a x The ime erie {y : T} i aid o be conruced from {x : T} by mean of a Linear Filer.
More information