Class 07 Time domain analysis Part II 2 nd order systems

Size: px
Start display at page:

Download "Class 07 Time domain analysis Part II 2 nd order systems"

Transcription

1 Class 07 Time domai aalysis Part II d order systems

2 Time domai aalysis d order systems iput S output Secod order systems of the type α G(s) as + bs + c

3 Time domai aalysis d order systems iput S α as + bs + c output Secod order systems of the type α G(s) as + bs + c

4 Time domai aalysis d order systems Secod order systems: α that is: iput Y(s) R(s) as + bs + as + α bs Y(s) R(s) + c c s + output α a b s a + c a K o ω ζω ω

5 Time domai aalysis d order systems iput K ω o + ζω + ω s s output K o gai of the system ζ dampig coefficiet ω atural frequecy the trasfer fuctio ca be rewritte as: Y(s) R(s) s + K o ζω ω s + ω

6 Time domai aalysis d order systems iput K ω o + ζω + ω s s output K o gai of the system ζ dampig coefficiet ω atural frequecy Besides these 3 above parameters, we also have ω d dampig frequecy ω d ω 1 ζ 0 < ζ 1

7 Time domai aalysis d order systems Example 1: Y(s) R(s) 4s 3 + 1s K o 3 ζ 3 ω 0,5 + 1 poles: s,914 s 0,086 poles are real ad distict Example : Y(s) R(s) s + 3 s + 1 poles: s 1 (duple) K o 3 ζ 1 ω 1 ω d 0 poles are real ad repeated

8 Time domai aalysis d order systems Example 3: Y(s) R(s) s K o 1,5 ζ 0,5 ω s + ω d 0,866 poles: s 0,5 ± 0,866j complex cojugate poles Example 4: Y(s) R(s) s K o 3 ζ 0 ω ω d poles: s ± j (pure imagiary) complex cojugate poles

9 Time domai aalysis d order systems Characteristic equatio: p(s) s + ζω 4 ζ ω 4 ω 4 ω (ζ 1) s + ω > 0 (ζ 1) > 0 ζ > 1 ζ > 1 0 (ζ 1) 0 ζ 1 ζ 1 < 0 (ζ 1) < 0 ζ < 1 ζ < 1 ζ > 1 poles are real ad distict ζ 1 poles are real ad repeated 0 < ζ < 1 poles are complex cojugate

10 Time domai aalysis d order systems iput K ω o + ζω + ω s s output uit step iput What is the output? (step respose)

11 Time domai aalysis d order systems iput K ω o + ζω + ω s s output Y(s) K oω + ζω + ω s s R(s) ad sice r(t) uit step: Y(s) ω o + ζω + ω K 1 s s s

12 Time domai aalysis d order systems iput K ω o + ζω + ω s s output y(t) L 1 [ Y(s) ] the uit step respose depeds o the value of ζ: a) 0 < ζ < 1 (uder dampig) b) ζ 1 (critical dampig) c) ζ > 1 (over dampig)

13 Time domai aalysis d order systems So, i the case 0 < ζ < 1 (uder dampig) the uit step respose is: y(t) where iput ω y(t) L 1 [ Y(s) ] ζω K o 1 t ζ e cos ωdt + se ωdt, t > 1 ζ d ω 1 ζ K ω o + ζω + ω s s ( dampig frequecy ) output 0

14 Time domai aalysis d order systems iput K ω o + ζω + ω s s output uit step respose : y(t) K o 1 e ζω t cos ω d t + ζ 1 ζ se ω d t

15 Time domai aalysis d order systems uit step respose: y(t) K o 1 e ζω t cos ω d t + ζ 1 ζ se ω d t

16 Time domai aalysis d order systems iput K ω o + ζω + ω s s output y(t) L 1 [ Y(s) ] I the case ζ 1 (critical dampig) the uit step respose is: y(t) K [ ( )] 1 e ζω t 1+ ω t, t 0 o >

17 Time domai aalysis d order systems iput K ω o + ζω + ω s s output uit step respose : y(t) K o [ ( )] 1 e ζω t 1+ ω t

18 Time domai aalysis d order systems uit step respose : y(t) K o [ ( )] 1 e ζωt 1+ ω t

19 Time domai aalysis d order systems iput K ω o + ζω + ω s s output I the case ζ > 1 (over dampig) the uit step respose is: where y(t) y(t) L 1 [ Y(s) ] p1t p t ω e e K o 1 +, t > 1 p1 p ζ ( ) ζ ± ζ 1 p1, ζω m ω ζ 1 ω 0 System has real poles

20 uit step respose: ζ ω + t p 1 t p p p 1 1 K y(t) 1 o e e o K s s ω + ζω + ω output iput Time domai aalysis d order systems

21 uit step respose: ζ ω + t p 1 t p p p 1 1 K y(t) 1 o e e Time domai aalysis d order systems

22 Time domai aalysis d order systems uit step respose ζ 1 ζ

23 Time domai aalysis d order systems uit step respose ζ 4 ζ 1

24 Time domai aalysis d order systems The uder dampig case

25 Time domai aalysis d order systems I the case 0 < ζ < 1, the uit step respose y(t) ζω K o 1 t ζ e cos ωdt + se ωdt, t > 1 ζ 0 ca have may differet forms, depedig o the values of ζ (dampig coefficiet), ω (atural frequecy) e K o (gai) Observe that ω d depeds o ζ ad ω ω d ω 1 ζ (dampig frequecy)

26 Time domai aalysis d order systems uit step respose ζ 0,13 ω 0,57 ζ 0,1 ω

27 Time domai aalysis d order systems uit step respose ζ 0,5 ω 1 ζ 0,5 ω 0,

28 Time domai aalysis d order systems uit step respose ζ 0,65 ω ζ 0,7 ω 0,8

29 Time domai aalysis d order systems uit step respose ζ 0,8 ω 1,4 ζ 0,85 ω 0,7

30 Time domai aalysis d order systems ζ 0 ω 0, uit step respose

31 Time domai aalysis d order systems Now let us cocetrate i the case 0 < ζ < 1 ad calculate some parameters.

32 Time domai aalysis d order systems calculate some parameters/variables for y(t) the uit step respose of the d order system.

33 steady state output y ss

34 Time domai aalysis d order systems y ss steady state respose ( steady state output ) K o ω Y(s) s + ζω s + ω R(s) R (s) 1 s y ss lim y(t) t lim s o s Y(s) lim s 0 K o s + K o ω ζω s s + ω 1 s y ss K o

35 Time domai aalysis d order systems y K ss o

36 risig time t r

37 Time domai aalysis d order systems t r risig time time it takes the step respose y(t) to reach the fial value y ss K o for the first time.

38 Time domai aalysis d order systems t r risig time Is the istat of time that y(t) reaches the fial value K o for the first time. y(t r ) K 1 e ζω t r ζ cosω t + se ω t 1 ζ o d r d r K o 1 ζω e t ζ r cos ωdt r + se ωdt r 1 ζ 0 tg( ω d t r ) 1 ζ ζ ω ζω d

39 Time domai aalysis d order systems t r risig time Depeds o the values of ζ ( dampig coefficiet ), ad of ω ( atural frequecy ) t r ω arctg ζω ω d d arctg 1 ζ ζ ω d t r arctg( ω d /ζω ) / ω d

40 Time domai aalysis d order systems t r arctg ω ω ζω d d

41 peak time t p

42 Time domai aalysis d order systems t p peak time is the istat of time i which the step respose y(t) reaches the first peak.

43 Time domai aalysis d order systems peak time y ss K o ( gai ) ζ ( dampig coefficiet ), ω ( atural frequecy ) y dy dt K o ζω e ζω t cos ω d t r + ζ 1 ζ se ω d t r + e ζω t ω d seω d t r + ζ ω d 1 ζ cos ω d t r ω

44 Time domai aalysis d order systems peak time dy dt K o e ζω t ζω + ω d cos ω seω d d t + ζ t ζω 1 ζ ω cos se ω d t) ω d t + K o e ζω t se ω d t ζ ω 1 ζ + ω (1 ζ 1 ζ ) t ω K o e ζω se ωdt 1 ζ 0

45 Time domai aalysis d order systems peak time dy dt 0 se ω d t 0 ω d t 0, π, π, 3π, L π t p ω d t p π / ω d

46 Time domai aalysis d order systems t p π ω d

47 overshoot M p

48 Time domai aalysis d order systems

49 Time domai aalysis d order systems

50 Time domai aalysis d order systems

51 Time domai aalysis d order systems M p overshoot it is the percetage above of the fial value y ss that is reached by the first peak.

52 Time domai aalysis d order systems The overshoot M p ca be expressed as a value betwee 0 ad 1.

53 Time domai aalysis d order systems Or, istead, it ca be expressed as a value betwee 0% ad 100%.

54 Time domai aalysis d order systems 0 overshoot M p 1 or 0% overshoot M p 100%

55 o o ζ 1 t o p K K ) se ( ζ ) ( cos 1 K M p ζ π π ω e overshoot ss ss max p y y y M o o p p K K ) y(t M ou ( ) o o / o o p K K K K M d ζ + ω π ω e 1 0 y ss K o ( gai ) ζ ( dampig coefficiet ), ω ( atural frequecy ) Time domai aalysis d order systems

56 Time domai aalysis d order systems overshoot ζ π M p K o e K 1 o ζ ζ π M p e 1 ζ M p depeds oly o ζ ( dampig coefficiet )

57 Time domai aalysis d order systems overshoot M p depeds oly o ζ ( dampig coefficiet ) M p 1 ζπ e or ζ ζ π M p e 1 ζ 100%

58 Time domai aalysis d order systems M p e 1 ζ π ζ

59 settlig time t s

60 Time domai aalysis d order systems t s settlig time is the time required for the step respose y(t) to reach ad remai withi a give error bad aroud the fial value y ss.

61 Time domai aalysis d order systems This error bad ca be of 5% above ad 5% below of the fial value y ss.

62 Time domai aalysis d order systems or, istead, from % above ad % below the fial value y ss.

63 Time domai aalysis d order systems The settlig time is obtaied from the equatios of y e (t), the curves that ecompass y(t). y e (t) K [ ] ζω t 1 ± e, t 0 o >

64 Time domai aalysis d order systems That is, the settlig time t s is obtaied by calculatig y e (t s ) 1,05 K o for the case of t s with 5% tolerace, ad y e (t s ) 1,0 K o for the case of t s with % tolerace, obtaiig the followig values: t s (5%) 3 ζω t s (%) 4 ζω

65 Aálise o domíio do tempo - Sistemas de ª ordem settlig time Note that the settlig time t r is iversely proportioal to ζω, which is the distace of the real part of the poles to the origi. hece: t ad t s s (5%) (%) 3 ζω 4 ζω t s (5%) 3 / ζω t s (%) 4 / ζω

66 Time domai aalysis d order systems t s (5%) 3 ζω

67 Time domai aalysis d order systems t s (%) 4 ζω

68 Time domai aalysis d order systems Note that we have see cases i which 0 < ζ < 1 ζ 1 ζ > 1 that is: ζ > 0 However, if ζ < 0 the: the system is ustable

69 Time domai aalysis d order systems ζ < 0 ustable system (a example)

70 Time domai aalysis d order systems ζ < 0 ustable system (aother example)

71 Departameto de Egeharia Eletromecâica Thak you! Felippe de Souza

Dynamic Response of Linear Systems

Dynamic Response of Linear Systems Dyamic Respose of Liear Systems Liear System Respose Superpositio Priciple Resposes to Specific Iputs Dyamic Respose of st Order Systems Characteristic Equatio - Free Respose Stable st Order System Respose

More information

Mechatronics. Time Response & Frequency Response 2 nd -Order Dynamic System 2-Pole, Low-Pass, Active Filter

Mechatronics. Time Response & Frequency Response 2 nd -Order Dynamic System 2-Pole, Low-Pass, Active Filter Time Respose & Frequecy Respose d -Order Dyamic System -Pole, Low-Pass, Active Filter R 4 R 7 C 5 e i R 1 C R 3 - + R 6 - + e out Assigmet: Perform a Complete Dyamic System Ivestigatio of the Two-Pole,

More information

Chapter 4 : Laplace Transform

Chapter 4 : Laplace Transform 4. Itroductio Laplace trasform is a alterative to solve the differetial equatio by the complex frequecy domai ( s = σ + jω), istead of the usual time domai. The DE ca be easily trasformed ito a algebraic

More information

Answer: 1(A); 2(C); 3(A); 4(D); 5(B); 6(A); 7(C); 8(C); 9(A); 10(A); 11(A); 12(C); 13(C)

Answer: 1(A); 2(C); 3(A); 4(D); 5(B); 6(A); 7(C); 8(C); 9(A); 10(A); 11(A); 12(C); 13(C) Aswer: (A); (C); 3(A); 4(D); 5(B); 6(A); 7(C); 8(C); 9(A); 0(A); (A); (C); 3(C). A two loop positio cotrol system is show below R(s) Y(s) + + s(s +) - - s The gai of the Tacho-geerator iflueces maily the

More information

Voltage controlled oscillator (VCO)

Voltage controlled oscillator (VCO) Voltage cotrolled oscillator (VO) Oscillatio frequecy jl Z L(V) jl[ L(V)] [L L (V)] L L (V) T VO gai / Logf Log 4 L (V) f f 4 L(V) Logf / L(V) f 4 L (V) f (V) 3 Lf 3 VO gai / (V) j V / V Bi (V) / V Bi

More information

Dr. Seeler Department of Mechanical Engineering Fall 2009 Lafayette College ME 479: Control Systems and Mechatronics Design and Analysis

Dr. Seeler Department of Mechanical Engineering Fall 2009 Lafayette College ME 479: Control Systems and Mechatronics Design and Analysis Dr. Seeler Departmet of Mechaical Egieerig Fall 009 Lafayette College ME 479: Cotrol Systems ad Mechatroics Desig ad Aalysis Lab 0: Review of the First ad Secod Order Step Resposes The followig remarks

More information

MEM 255 Introduction to Control Systems: Analyzing Dynamic Response

MEM 255 Introduction to Control Systems: Analyzing Dynamic Response MEM 55 Itroductio to Cotrol Systems: Aalyzig Dyamic Respose Harry G. Kwaty Departmet of Mechaical Egieerig & Mechaics Drexel Uiversity Outlie Time domai ad frequecy domai A secod order system Via partial

More information

EE Control Systems

EE Control Systems Copyright FL Lewis 7 All rights reserved Updated: Moday, November 1, 7 EE 4314 - Cotrol Systems Bode Plot Performace Specificatios The Bode Plot was developed by Hedrik Wade Bode i 1938 while he worked

More information

Transfer Function Analysis

Transfer Function Analysis Trasfer Fuctio Aalysis Free & Forced Resposes Trasfer Fuctio Syste Stability ME375 Trasfer Fuctios - Free & Forced Resposes Ex: Let s s look at a stable first order syste: τ y + y = Ku Take LT of the I/O

More information

Lab(8) controller design using root locus

Lab(8) controller design using root locus Lab(8) cotroller desig usig root locus I this lab we will lear how to desig a cotroller usig root locus but before this we eed to aswer the followig questios: What is root locus? What is the purpose of

More information

ME 375 FINAL EXAM Friday, May 6, 2005

ME 375 FINAL EXAM Friday, May 6, 2005 ME 375 FINAL EXAM Friay, May 6, 005 Divisio: Kig 11:30 / Cuigham :30 (circle oe) Name: Istructios (1) This is a close book examiatio, but you are allowe three 8.5 11 crib sheets. () You have two hours

More information

Bode Diagrams School of Mechanical Engineering ME375 Frequency Response - 29 Purdue University Example Ex:

Bode Diagrams School of Mechanical Engineering ME375 Frequency Response - 29 Purdue University Example Ex: ME375 Hadouts Bode Diagrams Recall that if m m bs m + bm s + + bs+ b Gs () as + a s + + as+ a The bm( j z)( j z) ( j zm) G( j ) a ( j p )( j p ) ( j p ) bm( s z)( s z) ( s zm) a ( s p )( s p ) ( s p )

More information

School of Mechanical Engineering Purdue University. ME375 Frequency Response - 1

School of Mechanical Engineering Purdue University. ME375 Frequency Response - 1 Case Study ME375 Frequecy Respose - Case Study SUPPORT POWER WIRE DROPPERS Electric trai derives power through a patograph, which cotacts the power wire, which is suspeded from a cateary. Durig high-speed

More information

School of Mechanical Engineering Purdue University. ME375 Transfer Functions - 1

School of Mechanical Engineering Purdue University. ME375 Transfer Functions - 1 Trasfer Fuctio Aalysis Free & Forced Resposes Trasfer Fuctio Syste Stability ME375 Trasfer Fuctios - 1 Free & Forced Resposes Ex: Let s look at a stable first order syste: y y Ku Take LT of the I/O odel

More information

Course Outline. Problem Identification. Engineering as Design. Amme 3500 : System Dynamics and Control. System Response. Dr. Stefan B.

Course Outline. Problem Identification. Engineering as Design. Amme 3500 : System Dynamics and Control. System Response. Dr. Stefan B. Course Outlie Amme 35 : System Dyamics a Cotrol System Respose Week Date Cotet Assigmet Notes Mar Itrouctio 8 Mar Frequecy Domai Moellig 3 5 Mar Trasiet Performace a the s-plae 4 Mar Block Diagrams Assig

More information

University of California at Berkeley College of Engineering Department of Electrical Engineering and Computer Sciences

University of California at Berkeley College of Engineering Department of Electrical Engineering and Computer Sciences A Uiversity of Califoria at Berkeley College of Egieerig Departmet of Electrical Egieerig ad Computer Scieces U N I V E R S T H E I T Y O F LE T TH E R E B E LI G H T C A L I F O R N 8 6 8 I A EECS : Sigals

More information

Chapter 2 Feedback Control Theory Continued

Chapter 2 Feedback Control Theory Continued Chapter Feedback Cotrol Theor Cotiued. Itroductio I the previous chapter, the respose characteristic of simple first ad secod order trasfer fuctios were studied. It was show that first order trasfer fuctio,

More information

Frequency Response Methods

Frequency Response Methods Frequecy Respose Methods The frequecy respose Nyquist diagram polar plots Bode diagram magitude ad phase Frequecy domai specificatios Frequecy Respose Methods I precedig chapters the respose ad performace

More information

ELEC 372 LECTURE NOTES, WEEK 4 Dr. Amir G. Aghdam Concordia University

ELEC 372 LECTURE NOTES, WEEK 4 Dr. Amir G. Aghdam Concordia University ELEC 37 LECTURE NOTES, WEE 4 Dr Amir G Aghdam Cocordia Uiverity Part of thee ote are adapted from the material i the followig referece: Moder Cotrol Sytem by Richard C Dorf ad Robert H Bihop, Pretice Hall

More information

Automatic Control Systems

Automatic Control Systems Automatic Cotrol Sytem Lecture-5 Time Domai Aalyi of Orer Sytem Emam Fathy Departmet of Electrical a Cotrol Egieerig email: emfmz@yahoo.com Itrouctio Compare to the implicity of a firt-orer ytem, a eco-orer

More information

The Z-Transform. (t-t 0 ) Figure 1: Simplified graph of an impulse function. For an impulse, it can be shown that (1)

The Z-Transform. (t-t 0 ) Figure 1: Simplified graph of an impulse function. For an impulse, it can be shown that (1) The Z-Trasform Sampled Data The geeralied fuctio (t) (also kow as the impulse fuctio) is useful i the defiitio ad aalysis of sampled-data sigals. Figure below shows a simplified graph of a impulse. (t-t

More information

ECE 422/522 Power System Operations & Planning/Power Systems Analysis II : 6 - Small Signal Stability

ECE 422/522 Power System Operations & Planning/Power Systems Analysis II : 6 - Small Signal Stability ECE 4/5 Power System Operatios & Plaig/Power Systems Aalysis II : 6 - Small Sigal Stability Sprig 014 Istructor: Kai Su 1 Refereces Kudur s Chapter 1 Saadat s Chapter 11.4 EPRI Tutorial s Chapter 8 Power

More information

2.004 Dynamics and Control II Spring 2008

2.004 Dynamics and Control II Spring 2008 MIT OpeCourseWare http://ocw.mit.edu 2.004 Dyamics ad Cotrol II Sprig 2008 For iformatio about citig these materials or our Terms of Use, visit: http://ocw.mit.edu/terms. Massachusetts Istitute of Techology

More information

732 Appendix E: Previous EEE480 Exams. Rules: One sheet permitted, calculators permitted. GWC 352,

732 Appendix E: Previous EEE480 Exams. Rules: One sheet permitted, calculators permitted. GWC 352, 732 Aedix E: Previous EEE0 Exams EEE0 Exam 2, Srig 2008 A.A. Rodriguez Rules: Oe 8. sheet ermitted, calculators ermitted. GWC 32, 9-372 Problem Aalysis of a Feedback System Cosider the feedback system

More information

Course Outline. Designing Control Systems. Proportional Controller. Amme 3500 : System Dynamics and Control. Root Locus. Dr. Stefan B.

Course Outline. Designing Control Systems. Proportional Controller. Amme 3500 : System Dynamics and Control. Root Locus. Dr. Stefan B. Amme 3500 : System Dyamics ad Cotrol Root Locus Course Outlie Week Date Cotet Assigmet Notes Mar Itroductio 8 Mar Frequecy Domai Modellig 3 5 Mar Trasiet Performace ad the s-plae 4 Mar Block Diagrams Assig

More information

University of California at Berkeley College of Engineering Department of Electrical Engineering and Computer Sciences

University of California at Berkeley College of Engineering Department of Electrical Engineering and Computer Sciences A Uiversity of Califoria at Berkeley College of Egieerig Departmet of Electrical Egieerig ad Computer Scieces U N I V E R S T H E I T Y O F LE T TH E R E B E LI G H T C A L I F O R N 8 6 8 I A EECS : Sigals

More information

COMM 602: Digital Signal Processing

COMM 602: Digital Signal Processing COMM 60: Digital Sigal Processig Lecture 4 -Properties of LTIS Usig Z-Trasform -Iverse Z-Trasform Properties of LTIS Usig Z-Trasform Properties of LTIS Usig Z-Trasform -ve +ve Properties of LTIS Usig Z-Trasform

More information

6.003 Homework #12 Solutions

6.003 Homework #12 Solutions 6.003 Homework # Solutios Problems. Which are rue? For each of the D sigals x [] through x 4 [] below), determie whether the coditios listed i the followig table are satisfied, ad aswer for true or F for

More information

Chapter 7: The z-transform. Chih-Wei Liu

Chapter 7: The z-transform. Chih-Wei Liu Chapter 7: The -Trasform Chih-Wei Liu Outlie Itroductio The -Trasform Properties of the Regio of Covergece Properties of the -Trasform Iversio of the -Trasform The Trasfer Fuctio Causality ad Stability

More information

MASSACHUSETTS INSTITUTE OF TECHNOLOGY Department of Electrical Engineering and Computer Science. BACKGROUND EXAM September 30, 2004.

MASSACHUSETTS INSTITUTE OF TECHNOLOGY Department of Electrical Engineering and Computer Science. BACKGROUND EXAM September 30, 2004. MASSACHUSETTS INSTITUTE OF TECHNOLOGY Departmet of Electrical Egieerig ad Computer Sciece 6.34 Discrete Time Sigal Processig Fall 24 BACKGROUND EXAM September 3, 24. Full Name: Note: This exam is closed

More information

6.003 Homework #12 Solutions

6.003 Homework #12 Solutions 6.003 Homework # Solutios Problems. Which are rue? For each of the D sigals x [] through x 4 [] (below), determie whether the coditios listed i the followig table are satisfied, ad aswer for true or F

More information

The z-transform. 7.1 Introduction. 7.2 The z-transform Derivation of the z-transform: x[n] = z n LTI system, h[n] z = re j

The z-transform. 7.1 Introduction. 7.2 The z-transform Derivation of the z-transform: x[n] = z n LTI system, h[n] z = re j The -Trasform 7. Itroductio Geeralie the complex siusoidal represetatio offered by DTFT to a represetatio of complex expoetial sigals. Obtai more geeral characteristics for discrete-time LTI systems. 7.

More information

Dynamic System Response

Dynamic System Response Solutio of Liear, Costat-Coefficiet, Ordiary Differetial Equatios Classical Operator Method Laplace Trasform Method Laplace Trasform Properties 1 st -Order Dyamic System Time ad Frequecy Respose d -Order

More information

Math 176 Calculus Sec. 5.1: Areas and Distances (Using Finite Sums)

Math 176 Calculus Sec. 5.1: Areas and Distances (Using Finite Sums) Math 176 Calculus Sec. 5.1: Areas ad Distaces (Usig Fiite Sums) I. Area A. Cosider the problem of fidig the area uder the curve o the f y=-x 2 +5 over the domai [0, 2]. We ca approximate this area by usig

More information

A New Accurate Analytical Expression for Rise Time Intended for Mechatronics Systems Performance Evaluation and Validation

A New Accurate Analytical Expression for Rise Time Intended for Mechatronics Systems Performance Evaluation and Validation Iteratioal Joural of Automatio, Cotrol ad Itelliget Systems Vol., No., 05, pp. 5-60 http://www.aisciece.org/joural/ijacis A New Accurate Aalytical Expressio for Rise Time Iteded for Mechatroics Systems

More information

Digital signal processing: Lecture 5. z-transformation - I. Produced by Qiangfu Zhao (Since 1995), All rights reserved

Digital signal processing: Lecture 5. z-transformation - I. Produced by Qiangfu Zhao (Since 1995), All rights reserved Digital sigal processig: Lecture 5 -trasformatio - I Produced by Qiagfu Zhao Sice 995, All rights reserved DSP-Lec5/ Review of last lecture Fourier trasform & iverse Fourier trasform: Time domai & Frequecy

More information

Definition of z-transform.

Definition of z-transform. - Trasforms Frequecy domai represetatios of discretetime sigals ad LTI discrete-time systems are made possible with the use of DTFT. However ot all discrete-time sigals e.g. uit step sequece are guarateed

More information

Olli Simula T / Chapter 1 3. Olli Simula T / Chapter 1 5

Olli Simula T / Chapter 1 3. Olli Simula T / Chapter 1 5 Sigals ad Systems Sigals ad Systems Sigals are variables that carry iformatio Systemstake sigals as iputs ad produce sigals as outputs The course deals with the passage of sigals through systems T-6.4

More information

Exponential Moving Average Pieter P

Exponential Moving Average Pieter P Expoetial Movig Average Pieter P Differece equatio The Differece equatio of a expoetial movig average lter is very simple: y[] x[] + (1 )y[ 1] I this equatio, y[] is the curret output, y[ 1] is the previous

More information

Complex Analysis Spring 2001 Homework I Solution

Complex Analysis Spring 2001 Homework I Solution Complex Aalysis Sprig 2001 Homework I Solutio 1. Coway, Chapter 1, sectio 3, problem 3. Describe the set of poits satisfyig the equatio z a z + a = 2c, where c > 0 ad a R. To begi, we see from the triagle

More information

Run-length & Entropy Coding. Redundancy Removal. Sampling. Quantization. Perform inverse operations at the receiver EEE

Run-length & Entropy Coding. Redundancy Removal. Sampling. Quantization. Perform inverse operations at the receiver EEE Geeral e Image Coder Structure Motio Video (s 1,s 2,t) or (s 1,s 2 ) Natural Image Samplig A form of data compressio; usually lossless, but ca be lossy Redudacy Removal Lossless compressio: predictive

More information

Jitter Transfer Functions For The Reference Clock Jitter In A Serial Link: Theory And Applications

Jitter Transfer Functions For The Reference Clock Jitter In A Serial Link: Theory And Applications Jitter Trasfer Fuctios For The Referece Clock Jitter I A Serial Lik: Theory Ad Applicatios Mike Li, Wavecrest Ady Martwick, Itel Gerry Talbot, AMD Ja Wilstrup, Teradye Purposes Uderstad various jitter

More information

Frequency Domain Filtering

Frequency Domain Filtering Frequecy Domai Filterig Raga Rodrigo October 19, 2010 Outlie Cotets 1 Itroductio 1 2 Fourier Represetatio of Fiite-Duratio Sequeces: The Discrete Fourier Trasform 1 3 The 2-D Discrete Fourier Trasform

More information

Principle Of Superposition

Principle Of Superposition ecture 5: PREIMINRY CONCEP O RUCUR NYI Priciple Of uperpositio Mathematically, the priciple of superpositio is stated as ( a ) G( a ) G( ) G a a or for a liear structural system, the respose at a give

More information

3. Z Transform. Recall that the Fourier transform (FT) of a DT signal xn [ ] is ( ) [ ] = In order for the FT to exist in the finite magnitude sense,

3. Z Transform. Recall that the Fourier transform (FT) of a DT signal xn [ ] is ( ) [ ] = In order for the FT to exist in the finite magnitude sense, 3. Z Trasform Referece: Etire Chapter 3 of text. Recall that the Fourier trasform (FT) of a DT sigal x [ ] is ω ( ) [ ] X e = j jω k = xe I order for the FT to exist i the fiite magitude sese, S = x [

More information

Sinusoidal Steady-state Analysis

Sinusoidal Steady-state Analysis Siusoidal Steady-state Aalysis Complex umber reviews Phasors ad ordiary differetial equatios Complete respose ad siusoidal steady-state respose Cocepts of impedace ad admittace Siusoidal steady-state aalysis

More information

Mechatronics II Laboratory Exercise 5 Second Order Response

Mechatronics II Laboratory Exercise 5 Second Order Response Mechatroics II Laboratory Exercise 5 Seco Orer Respose Theoretical Backgrou Seco orer ifferetial equatios approximate the yamic respose of may systems. The respose of a geeric seco orer system ca be see

More information

FREE VIBRATION RESPONSE OF A SYSTEM WITH COULOMB DAMPING

FREE VIBRATION RESPONSE OF A SYSTEM WITH COULOMB DAMPING Mechaical Vibratios FREE VIBRATION RESPONSE OF A SYSTEM WITH COULOMB DAMPING A commo dampig mechaism occurrig i machies is caused by slidig frictio or dry frictio ad is called Coulomb dampig. Coulomb dampig

More information

1the 1it is said to be overdamped. When 1, the roots of

1the 1it is said to be overdamped. When 1, the roots of Homework 3 AERE573 Fall 08 Due 0/8(M) ame PROBLEM (40pts) Cosider a D order uderdamped system trasfer fuctio H( s) s ratio 0 The deomiator is the system characteristic polyomial P( s) s s (a)(5pts) Use

More information

CDS 101: Lecture 8.2 Tools for PID & Loop Shaping

CDS 101: Lecture 8.2 Tools for PID & Loop Shaping CDS : Lecture 8. Tools for PID & Loop Shapig Richard M. Murray 7 November 4 Goals: Show how to use loop shapig to achieve a performace specificatio Itroduce ew tools for loop shapig desig: Ziegler-Nichols,

More information

Contents Kreatryx. All Rights Reserved.

Contents Kreatryx. All Rights Reserved. Cotets Maual for K-Notes... Basics of Cotrol Systems... 3 Sigal Flow Graphs... 7 Time Respose Aalysis... 0 Cotrol System Stability... 6 Root locus Techique... 8 Frequecy Domai Aalysis... Bode Plots...

More information

EE / EEE SAMPLE STUDY MATERIAL. GATE, IES & PSUs Signal System. Electrical Engineering. Postal Correspondence Course

EE / EEE SAMPLE STUDY MATERIAL. GATE, IES & PSUs Signal System. Electrical Engineering. Postal Correspondence Course Sigal-EE Postal Correspodece Course 1 SAMPLE STUDY MATERIAL Electrical Egieerig EE / EEE Postal Correspodece Course GATE, IES & PSUs Sigal System Sigal-EE Postal Correspodece Course CONTENTS 1. SIGNAL

More information

Signal Processing. Lecture 02: Discrete Time Signals and Systems. Ahmet Taha Koru, Ph. D. Yildiz Technical University.

Signal Processing. Lecture 02: Discrete Time Signals and Systems. Ahmet Taha Koru, Ph. D. Yildiz Technical University. Sigal Processig Lecture 02: Discrete Time Sigals ad Systems Ahmet Taha Koru, Ph. D. Yildiz Techical Uiversity 2017-2018 Fall ATK (YTU) Sigal Processig 2017-2018 Fall 1 / 51 Discrete Time Sigals Discrete

More information

EE 4343 Lab#4 PID Control Design of Rigid Bodies

EE 4343 Lab#4 PID Control Design of Rigid Bodies EE 44 Lab#4 PID Cotrol Desig of Rigid Bodies Prepared by: Stacy Caso E-mail: scaso@arri.uta.edu Updated: July 9, 1999 This lab demostrates some key cocepts associated with proportioal plus derivative (PD

More information

The Performance of Feedback Control Systems

The Performance of Feedback Control Systems The Performace of Feedbac Cotrol Sytem Objective:. Secify the meaure of erformace time-domai the firt te i the deig roce Percet overhoot / Settlig time T / Time to rie / Steady-tate error e. ut igal uch

More information

Lecture 13. Graphical representation of the frequency response. Luca Ferrarini - Basic Automatic Control 1

Lecture 13. Graphical representation of the frequency response. Luca Ferrarini - Basic Automatic Control 1 Lecture 3 Graphical represetatio of the frequecy respose Luca Ferrarii - Basic Automatic Cotrol Graphical represetatio of the frequecy respose Polar plot G Bode plot ( j), G Im 3 Re of the magitude G (

More information

FIR Filters. Lecture #7 Chapter 5. BME 310 Biomedical Computing - J.Schesser

FIR Filters. Lecture #7 Chapter 5. BME 310 Biomedical Computing - J.Schesser FIR Filters Lecture #7 Chapter 5 8 What Is this Course All About? To Gai a Appreciatio of the Various Types of Sigals ad Systems To Aalyze The Various Types of Systems To Lear the Skills ad Tools eeded

More information

Appendix: The Laplace Transform

Appendix: The Laplace Transform Appedix: The Laplace Trasform The Laplace trasform is a powerful method that ca be used to solve differetial equatio, ad other mathematical problems. Its stregth lies i the fact that it allows the trasformatio

More information

Z - Transform. It offers the techniques for digital filter design and frequency analysis of digital signals.

Z - Transform. It offers the techniques for digital filter design and frequency analysis of digital signals. Z - Trasform The -trasform is a very importat tool i describig ad aalyig digital systems. It offers the techiques for digital filter desig ad frequecy aalysis of digital sigals. Defiitio of -trasform:

More information

Ch3 Discrete Time Fourier Transform

Ch3 Discrete Time Fourier Transform Ch3 Discrete Time Fourier Trasform 3. Show that the DTFT of [] is give by ( k). e k 3. Determie the DTFT of the two sided sigal y [ ],. 3.3 Determie the DTFT of the causal sequece x[ ] A cos( 0 ) [ ],

More information

Signal Processing in Mechatronics. Lecture 3, Convolution, Fourier Series and Fourier Transform

Signal Processing in Mechatronics. Lecture 3, Convolution, Fourier Series and Fourier Transform Sigal Processig i Mechatroics Summer semester, 1 Lecture 3, Covolutio, Fourier Series ad Fourier rasform Dr. Zhu K.P. AIS, UM 1 1. Covolutio Covolutio Descriptio of LI Systems he mai premise is that the

More information

Lecture 30: Frequency Response of Second-Order Systems

Lecture 30: Frequency Response of Second-Order Systems Lecture 3: Frequecy Repoe of Secod-Order Sytem UHTXHQF\ 5HVSRQVH RI 6HFRQGUGHU 6\VWHPV A geeral ecod-order ytem ha a trafer fuctio of the form b + b + b H (. (9.4 a + a + a It ca be table, utable, caual

More information

Dynamic Response of Second Order Mechanical Systems with Viscous Dissipation forces

Dynamic Response of Second Order Mechanical Systems with Viscous Dissipation forces Hadout #b (pp. 4-55) Dyamic Respose o Secod Order Mechaical Systems with Viscous Dissipatio orces M X + DX + K X = F t () Periodic Forced Respose to F (t) = F o si( t) ad F (t) = M u si(t) Frequecy Respose

More information

EE Midterm Test 1 - Solutions

EE Midterm Test 1 - Solutions EE35 - Midterm Test - Solutios Total Poits: 5+ 6 Bous Poits Time: hour. ( poits) Cosider the parallel itercoectio of the two causal systems, System ad System 2, show below. System x[] + y[] System 2 The

More information

Written exam Digital Signal Processing for BMT (8E070). Tuesday November 1, 2011, 09:00 12:00.

Written exam Digital Signal Processing for BMT (8E070). Tuesday November 1, 2011, 09:00 12:00. Techische Uiversiteit Eidhove Fac. Biomedical Egieerig Writte exam Digital Sigal Processig for BMT (8E070). Tuesday November, 0, 09:00 :00. (oe page) ( problems) Problem. s Cosider a aalog filter with

More information

MAXIMALLY FLAT FIR FILTERS

MAXIMALLY FLAT FIR FILTERS MAXIMALLY FLAT FIR FILTERS This sectio describes a family of maximally flat symmetric FIR filters first itroduced by Herrma [2]. The desig of these filters is particularly simple due to the availability

More information

MCT242: Electronic Instrumentation Lecture 2: Instrumentation Definitions

MCT242: Electronic Instrumentation Lecture 2: Instrumentation Definitions Faculty of Egieerig MCT242: Electroic Istrumetatio Lecture 2: Istrumetatio Defiitios Overview Measuremet Error Accuracy Precisio ad Mea Resolutio Mea Variace ad Stadard deviatio Fiesse Sesitivity Rage

More information

The z-transform can be used to obtain compact transform-domain representations of signals and systems. It

The z-transform can be used to obtain compact transform-domain representations of signals and systems. It 3 4 5 6 7 8 9 10 CHAPTER 3 11 THE Z-TRANSFORM 31 INTRODUCTION The z-trasform ca be used to obtai compact trasform-domai represetatios of sigals ad systems It provides ituitio particularly i LTI system

More information

Summary: CORRELATION & LINEAR REGRESSION. GC. Students are advised to refer to lecture notes for the GC operations to obtain scatter diagram.

Summary: CORRELATION & LINEAR REGRESSION. GC. Students are advised to refer to lecture notes for the GC operations to obtain scatter diagram. Key Cocepts: 1) Sketchig of scatter diagram The scatter diagram of bivariate (i.e. cotaiig two variables) data ca be easily obtaied usig GC. Studets are advised to refer to lecture otes for the GC operatios

More information

Filter banks. Separately, the lowpass and highpass filters are not invertible. removes the highest frequency 1/ 2and

Filter banks. Separately, the lowpass and highpass filters are not invertible. removes the highest frequency 1/ 2and Filter bas Separately, the lowpass ad highpass filters are ot ivertible T removes the highest frequecy / ad removes the lowest frequecy Together these filters separate the sigal ito low-frequecy ad high-frequecy

More information

Solutions of Chapter 5 Part 1/2

Solutions of Chapter 5 Part 1/2 Page 1 of 8 Solutios of Chapter 5 Part 1/2 Problem 5.1-1 Usig the defiitio, compute the -trasform of x[] ( 1) (u[] u[ 8]). Sketch the poles ad eros of X[] i the plae. Solutio: Accordig to the defiitio,

More information

For example suppose we divide the interval [0,2] into 5 equal subintervals of length

For example suppose we divide the interval [0,2] into 5 equal subintervals of length Math 120c Calculus Sec 1: Estimatig with Fiite Sums I Area A Cosider the problem of fidig the area uder the curve o the fuctio y!x 2 + over the domai [0,2] We ca approximate this area by usig a familiar

More information

For example suppose we divide the interval [0,2] into 5 equal subintervals of length

For example suppose we divide the interval [0,2] into 5 equal subintervals of length Math 1206 Calculus Sec 1: Estimatig with Fiite Sums Abbreviatios: wrt with respect to! for all! there exists! therefore Def defiitio Th m Theorem sol solutio! perpedicular iff or! if ad oly if pt poit

More information

x[0] x[1] x[2] Figure 2.1 Graphical representation of a discrete-time signal.

x[0] x[1] x[2] Figure 2.1 Graphical representation of a discrete-time signal. x[ ] x[ ] x[] x[] x[] x[] 9 8 7 6 5 4 3 3 4 5 6 7 8 9 Figure. Graphical represetatio of a discrete-time sigal. From Discrete-Time Sigal Processig, e by Oppeheim, Schafer, ad Buck 999- Pretice Hall, Ic.

More information

Dirichlet s Theorem on Arithmetic Progressions

Dirichlet s Theorem on Arithmetic Progressions Dirichlet s Theorem o Arithmetic Progressios Athoy Várilly Harvard Uiversity, Cambridge, MA 0238 Itroductio Dirichlet s theorem o arithmetic progressios is a gem of umber theory. A great part of its beauty

More information

Module 11: Applications : Linear prediction, Speech Analysis and Speech Enhancement Prof. Eliathamby Ambikairajah Dr. Tharmarajah Thiruvaran School

Module 11: Applications : Linear prediction, Speech Analysis and Speech Enhancement Prof. Eliathamby Ambikairajah Dr. Tharmarajah Thiruvaran School Module : Applicatios : Liear predictio, Speech Aalysis ad Speech Ehacemet Prof. Eliathamby Ambiairajah Dr. Tharmarajah Thiruvara School of Electrical Egieerig & Telecommuicatios The Uiversity of New South

More information

Systems Analysis and Control

Systems Analysis and Control Systems Analysis and Control Matthew M. Peet Illinois Institute of Technology Lecture 8: Response Characteristics Overview In this Lecture, you will learn: Characteristics of the Response Stability Real

More information

PID SELF-TUNING CONTROLLERS USED IN DIFFERENT STRUCTURES OF THE CONTROL LOOPS

PID SELF-TUNING CONTROLLERS USED IN DIFFERENT STRUCTURES OF THE CONTROL LOOPS FASCICLE III, Vol.31, No., ISSN 11-454X ELECTROTECHNICS, ELECTRONICS, AUTOMATIC CONTROL, INFORMATICS PID SELF-TUNING CONTROLLERS USED IN DIFFERENT STRUCTURES OF THE CONTROL LOOPS Viorel DUGAN a, Adria

More information

A. Basics of Discrete Fourier Transform

A. Basics of Discrete Fourier Transform A. Basics of Discrete Fourier Trasform A.1. Defiitio of Discrete Fourier Trasform (8.5) A.2. Properties of Discrete Fourier Trasform (8.6) A.3. Spectral Aalysis of Cotiuous-Time Sigals Usig Discrete Fourier

More information

Solutions. Number of Problems: 4. None. Use only the prepared sheets for your solutions. Additional paper is available from the supervisors.

Solutions. Number of Problems: 4. None. Use only the prepared sheets for your solutions. Additional paper is available from the supervisors. Quiz November 4th, 23 Sigals & Systems (5-575-) P. Reist & Prof. R. D Adrea Solutios Exam Duratio: 4 miutes Number of Problems: 4 Permitted aids: Noe. Use oly the prepared sheets for your solutios. Additioal

More information

Chapter 4. Fourier Series

Chapter 4. Fourier Series Chapter 4. Fourier Series At this poit we are ready to ow cosider the caoical equatios. Cosider, for eample the heat equatio u t = u, < (4.) subject to u(, ) = si, u(, t) = u(, t) =. (4.) Here,

More information

Analysis of the No-Load Characteristic of the Moving Coil Linear Compressor

Analysis of the No-Load Characteristic of the Moving Coil Linear Compressor Purdue Uiversity Purdue e-pubs Iteratioal Compressor Egieerig Coferece School of Mechaical Egieerig 008 Aalysis of the No-Load Characteristic of the Movig Coil Liear Compressor Yigbai Xie North Chia Electric

More information

ME451 Laboratory. Time Response Modeling and Experimental Validation of a Second Order Plant: Mass-Spring Damper System

ME451 Laboratory. Time Response Modeling and Experimental Validation of a Second Order Plant: Mass-Spring Damper System ME 451: Cotrol Systems Laboratory Departmet of Mecaical Egieerig Miciga State Uiversity East Lasig, MI 4884-16 ME451 Laboratory Time Respose Modelig ad Experimetal Validatio of a Secod Order Plat: Mass-Sprig

More information

ADVANCED DIGITAL SIGNAL PROCESSING

ADVANCED DIGITAL SIGNAL PROCESSING ADVANCED DIGITAL SIGNAL PROCESSING PROF. S. C. CHAN (email : sccha@eee.hku.hk, Rm. CYC-702) DISCRETE-TIME SIGNALS AND SYSTEMS MULTI-DIMENSIONAL SIGNALS AND SYSTEMS RANDOM PROCESSES AND APPLICATIONS ADAPTIVE

More information

Response Analysis on Nonuniform Transmission Line

Response Analysis on Nonuniform Transmission Line SERBIAN JOURNAL OF ELECTRICAL ENGINEERING Vol. No. November 5 173-18 Respose Aalysis o Nouiform Trasmissio Lie Zlata Cvetković 1 Slavoljub Aleksić Bojaa Nikolić 3 Abstract: Trasiets o a lossless epoetial

More information

MAS160: Signals, Systems & Information for Media Technology. Problem Set 5. DUE: November 3, (a) Plot of u[n] (b) Plot of x[n]=(0.

MAS160: Signals, Systems & Information for Media Technology. Problem Set 5. DUE: November 3, (a) Plot of u[n] (b) Plot of x[n]=(0. MAS6: Sigals, Systems & Iformatio for Media Techology Problem Set 5 DUE: November 3, 3 Istructors: V. Michael Bove, Jr. ad Rosalid Picard T.A. Jim McBride Problem : Uit-step ad ruig average (DSP First

More information

Paper-II Chapter- Damped vibration

Paper-II Chapter- Damped vibration Paper-II Chapter- Damped vibratio Free vibratios: Whe a body cotiues to oscillate with its ow characteristics frequecy. Such oscillatios are kow as free or atural vibratios of the body. Ideally, the body

More information

FIR Filter Design: Part II

FIR Filter Design: Part II EEL335: Discrete-Time Sigals ad Systems. Itroductio I this set of otes, we cosider how we might go about desigig FIR filters with arbitrary frequecy resposes, through compositio of multiple sigle-peak

More information

2 Geometric interpretation of complex numbers

2 Geometric interpretation of complex numbers 2 Geometric iterpretatio of complex umbers 2.1 Defiitio I will start fially with a precise defiitio, assumig that such mathematical object as vector space R 2 is well familiar to the studets. Recall that

More information

1. Nature of Impulse Response - Pole on Real Axis. z y(n) = r n. z r

1. Nature of Impulse Response - Pole on Real Axis. z y(n) = r n. z r . Nature of Impulse Respose - Pole o Real Axis Causal system trasfer fuctio: Hz) = z yz) = z r z z r y) = r r > : the respose grows mootoically > r > : y decays to zero mootoically r > : oscillatory, decayig

More information

Chapter 2 Systems and Signals

Chapter 2 Systems and Signals Chapter 2 Systems ad Sigals 1 Itroductio Discrete-Time Sigals: Sequeces Discrete-Time Systems Properties of Liear Time-Ivariat Systems Liear Costat-Coefficiet Differece Equatios Frequecy-Domai Represetatio

More information

Frequency Response of FIR Filters

Frequency Response of FIR Filters EEL335: Discrete-Time Sigals ad Systems. Itroductio I this set of otes, we itroduce the idea of the frequecy respose of LTI systems, ad focus specifically o the frequecy respose of FIR filters.. Steady-state

More information

ECE-S352 Introduction to Digital Signal Processing Lecture 3A Direct Solution of Difference Equations

ECE-S352 Introduction to Digital Signal Processing Lecture 3A Direct Solution of Difference Equations ECE-S352 Itroductio to Digital Sigal Processig Lecture 3A Direct Solutio of Differece Equatios Discrete Time Systems Described by Differece Equatios Uit impulse (sample) respose h() of a DT system allows

More information

The state space model needs 5 parameters, so it is not as convenient to use in this control study.

The state space model needs 5 parameters, so it is not as convenient to use in this control study. Trasfer fuctio for of the odel G θ K ω 2 θ / v θ / v ( s) = = 2 2 vi s + 2ζωs + ω The followig slides detail a derivatio of this aalog eter odel both as state space odel ad trasfer fuctio (TF) as show

More information

EXPERIMENT OF SIMPLE VIBRATION

EXPERIMENT OF SIMPLE VIBRATION EXPERIMENT OF SIMPLE VIBRATION. PURPOSE The purpose of the experimet is to show free vibratio ad damped vibratio o a system havig oe degree of freedom ad to ivestigate the relatioship betwee the basic

More information

On a Smarandache problem concerning the prime gaps

On a Smarandache problem concerning the prime gaps O a Smaradache problem cocerig the prime gaps Felice Russo Via A. Ifate 7 6705 Avezzao (Aq) Italy felice.russo@katamail.com Abstract I this paper, a problem posed i [] by Smaradache cocerig the prime gaps

More information

j=1 dz Res(f, z j ) = 1 d k 1 dz k 1 (z c)k f(z) Res(f, c) = lim z c (k 1)! Res g, c = f(c) g (c)

j=1 dz Res(f, z j ) = 1 d k 1 dz k 1 (z c)k f(z) Res(f, c) = lim z c (k 1)! Res g, c = f(c) g (c) Problem. Compute the itegrals C r d for Z, where C r = ad r >. Recall that C r has the couter-clockwise orietatio. Solutio: We will use the idue Theorem to solve this oe. We could istead use other (perhaps

More information

Introduction to Signals and Systems, Part V: Lecture Summary

Introduction to Signals and Systems, Part V: Lecture Summary EEL33: Discrete-Time Sigals ad Systems Itroductio to Sigals ad Systems, Part V: Lecture Summary Itroductio to Sigals ad Systems, Part V: Lecture Summary So far we have oly looked at examples of o-recursive

More information

Signals & Systems Chapter3

Signals & Systems Chapter3 Sigals & Systems Chapter3 1.2 Discrete-Time (D-T) Sigals Electroic systems do most of the processig of a sigal usig a computer. A computer ca t directly process a C-T sigal but istead eeds a stream of

More information

Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science. Fall Problem Set 11 Solutions.

Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science. Fall Problem Set 11 Solutions. Massachusetts Istitute of Techology Departmet of Electrical Egieerig ad Computer Sciece Issued: Thursday, December 8, 005 6.341: Discrete-Time Sigal Processig Fall 005 Problem Set 11 Solutios Problem 11.1

More information