Lecture 13: H(s) Poles-Zeros & BIBO Stability. (a) What are poles and zeros? Answer: HS math and calculus review.
|
|
- Aileen Goodwin
- 6 years ago
- Views:
Transcription
1 1. Introduction Lecture 13: H(s) Poles-Zeros & BIBO Stability (a) What are poles and zeros? Answer: HS math and calculus review. (b) What are nice inputs? Answer: nice inputs are bounded inputs; if you excite a circuit with a nice bounded input, like a step function, then one hopes to get a nice (bounded) output signal. Bounded input Bounded output (BIBO) stability. (c) Hey Prof Ray, I read this article about meta stable which is in some books. Answer: Yeah right! No such thing. A flawed concept made up by those who never studied stability. (d) Prove it Prof Ray you are always talking about proving things. Huh! Answer: the Tacoma Narrows bridge the one that did the twist and shout (girders screaming as they twisted) to the symphony of the Tacoma narrows wind that bridge like London bridge it tumbled down. So much for metastable; what do ya think? (e) OK so what are transfer functions good for? 2. General Structure of a Rational H(s). (a) Assumption: Generally, in 202, H(s) = n(s) d(s) meaning that deg[n(s)] deg[d(s)]. is assumed to be PROPER (b) Structure of the transfer function:
2 H(s) = K sm + b 1 s m b m s n + a 1 b n a 1 = K (s z 1 )(s z 2 )...(s z m ) (s p 1 )(s p 2 )...(s p n ) (a) z i is a finite zero of H(s) ; (b) p i is a finite pole of H(s) (c) if lim s H(s) = 0 then is an infinite zero of H(s) ; (d) n m is the number of infinite zeros of H(s) ; (e) dc gain is H(0) = K( 1) n m m z i i=1 n p i i=1. Example 1. Find H(s) from the pole-zero plot below assuming H(0) = 5.
3 Step 1. H(s) = K (s + jb)(s jb) (s + a + jb)(s + a jb) = K s 2 + b 2 (s + a) 2 + b 2 Step 2. H(0) = 5 = K b2 a 2 + b 2 K = 5 a 2 + b 2 b 2 3. BIBO stability: nice input leads ALWAYS to a nice output. (a) What is nice? Think about what you consider a nice person and what others may consider a nice person. This is difficult to pin down. In mathematics we often define nice by what is called a norm. Probably the most familiar norm to most students in the Euclidean norm of a vector: x 1 x = x 2 then x = x x 2 2, the length of the vector. For us, nice refers to a property of the input signal and output signal. For us, nice means bounded. A function f (t) is bounded if f (t) K < for all t. So if nice in always leads to nice out means bounded inputs lead to bounded outputs. so called BIBO stability. Yeah right Ray. So how much time do we have to check all those bounded inputs to see if they ALL lead to bounded outputs??? No way. I ain t got time for that. I ll spend the rest of my life catching my breath, letting it go. Good point. That is exactly the problem. The idea is NOT to check all those input-output pairs but to characterize the property of BIBO stability in terms of the transfer function H(s). BIBO stability is true if and only if ALL poles of H(s) lie in the open left half complex plane. It s all so simple now.
4 Example 2. H(s) = V out = 12 V in s 3. Suppose v in (t) = u(t) V. Then 12 V out = s(s 3) = 4 s 4 s 3 to infinity as t. implies v out (t) = 4u(t) 4e3t u(t) which blows up Conclusion: poles in the right half complex plane are very bad. Example 3. H(s) = V out V in = 12 s. Suppose v in (t) = u(t) V. Then V out = 12 t. s 2 implies v out (t) = 4r(t) = tu(t) which blows up to infinity as Conclusion: poles on the imaginary axis are bad. Example 4. H(s) = V out = 12 V in s + 3. Suppose v in (t) = u(t) V. Then 12 V out = s(s + 3) = 4 s 4 s + 3 implies v out (t) = 4u(t) + 4e 3t u(t) which exponentially goes to zero as t. Conclusion: poles in the left half complex plane are very good. Big Conclusion: A circuit is BIBO stable if and only if all poles of H(s) lie in the open left half complex plane.
5 Example 5. The bridge over the narrows problem: Example 6. Find the range of a for instability. Strategy: nodal analysis.
6 1. Output node: 1 V out + 1 ( s V out V 1) = 0. Solving for V 1 yields: (s +1)V out = V 1 2. The V 1 node. ( V 1 V in ) av out + 1 ( s V 1 V out ) = 0 From 1, upon substitution (s +1)V out av out +V out = V in 3. Conclusion: H(s) = V out V in = 1 s + 2 a which requires that a 2 < 0 a < 2 for BIBO stability.
7 Worksheet 1. (s 1) 2 (s + 2) 2 H(s) = 36 (s +1) 2 (s + 4)(s 3) 2 1. How many finite zeros? 2. Location of finite zeros? 3. Multiplicity of finite zeros? 4. How many infinite zeros? 5. How many finite poles? 6. Location of finite poles? 7. Multiplicity of finite poles? 8. True-False. The impulse response contains a term of the form Kδ (t). 9. True-False. The circuit/system described by the above transfer function is BIBO stable.
8 Worksheet 2. Given H(1) = 15 and the pole-zero plot below, find H(s). 1. H(s) = K 2. H(1) = 15 = K Therefore K = 3. True-False: The circuit/system described by the above transfer function is BIBO stable.
9 Appendix to Lecture 13. Example 1. Two Component Model of the Ingestion and Metabolism of a Drug. Compartment 1 Model dm 1 dt = K 1 m 1 + r Compartment 2 Model dm 2 dt = K 1 m 1 K 2 m 2 Assumptions 1. Output = m 2 (t) = mass of drug in bloodstream at t. 2. All IC s are zero at t = 0.
10 Objective: Construct H(s) and discuss. Step 1. sm 1 (s) = K 1 M 1 (s) + R(s) implies M 1 (s) = Step 2. sm 2 (s) = K 1 M 1 (s) K 2 M 2 (s) M 2 (s) = K 1 M 1 (s) s + K 2. 1 s + K 1 R(s) Step 3. H(s) = M 2 (s) R(s) = K 1 (s + K 1 )(s + K 2 ) Step 4. Impulse Response: h(t) = K 1 K 2 K 1 e K 1 t u(t) K 1 K 2 K 1 e K 2 t u(t) Step 5. Pole-zero plot of H(s). Suppose K 2 > K 1.
STABILITY. Have looked at modeling dynamic systems using differential equations. and used the Laplace transform to help find step and impulse
SIGNALS AND SYSTEMS: PAPER 3C1 HANDOUT 4. Dr David Corrigan 1. Electronic and Electrical Engineering Dept. corrigad@tcd.ie www.sigmedia.tv STABILITY Have looked at modeling dynamic systems using differential
More informationTime Response of Systems
Chapter 0 Time Response of Systems 0. Some Standard Time Responses Let us try to get some impulse time responses just by inspection: Poles F (s) f(t) s-plane Time response p =0 s p =0,p 2 =0 s 2 t p =
More informationPhysics 6303 Lecture 22 November 7, There are numerous methods of calculating these residues, and I list them below. lim
Physics 6303 Lecture 22 November 7, 208 LAST TIME:, 2 2 2, There are numerous methods of calculating these residues, I list them below.. We may calculate the Laurent series pick out the coefficient. 2.
More informationIdentification Methods for Structural Systems. Prof. Dr. Eleni Chatzi System Stability - 26 March, 2014
Prof. Dr. Eleni Chatzi System Stability - 26 March, 24 Fundamentals Overview System Stability Assume given a dynamic system with input u(t) and output x(t). The stability property of a dynamic system can
More informationUnit 2: Modeling in the Frequency Domain Part 2: The Laplace Transform. The Laplace Transform. The need for Laplace
Unit : Modeling in the Frequency Domain Part : Engineering 81: Control Systems I Faculty of Engineering & Applied Science Memorial University of Newfoundland January 1, 010 1 Pair Table Unit, Part : Unit,
More informationBasic Procedures for Common Problems
Basic Procedures for Common Problems ECHE 550, Fall 2002 Steady State Multivariable Modeling and Control 1 Determine what variables are available to manipulate (inputs, u) and what variables are available
More informationECE 3620: Laplace Transforms: Chapter 3:
ECE 3620: Laplace Transforms: Chapter 3: 3.1-3.4 Prof. K. Chandra ECE, UMASS Lowell September 21, 2016 1 Analysis of LTI Systems in the Frequency Domain Thus far we have understood the relationship between
More informationEE 380. Linear Control Systems. Lecture 10
EE 380 Linear Control Systems Lecture 10 Professor Jeffrey Schiano Department of Electrical Engineering Lecture 10. 1 Lecture 10 Topics Stability Definitions Methods for Determining Stability Lecture 10.
More informationTime Response Analysis (Part II)
Time Response Analysis (Part II). A critically damped, continuous-time, second order system, when sampled, will have (in Z domain) (a) A simple pole (b) Double pole on real axis (c) Double pole on imaginary
More informationMath Lecture 3 Notes
Math 1010 - Lecture 3 Notes Dylan Zwick Fall 2009 1 Operations with Real Numbers In our last lecture we covered some basic operations with real numbers like addition, subtraction and multiplication. This
More information9.5 The Transfer Function
Lecture Notes on Control Systems/D. Ghose/2012 0 9.5 The Transfer Function Consider the n-th order linear, time-invariant dynamical system. dy a 0 y + a 1 dt + a d 2 y 2 dt + + a d n y 2 n dt b du 0u +
More informationGEORGIA INSTITUTE OF TECHNOLOGY SCHOOL of ELECTRICAL & COMPUTER ENGINEERING FINAL EXAM. COURSE: ECE 3084A (Prof. Michaels)
GEORGIA INSTITUTE OF TECHNOLOGY SCHOOL of ELECTRICAL & COMPUTER ENGINEERING FINAL EXAM DATE: 09-Dec-13 COURSE: ECE 3084A (Prof. Michaels) NAME: STUDENT #: LAST, FIRST Write your name on the front page
More informationLECTURE 18: THE JOY OF CONVOLUTION
LECTURE 18: THE JOY OF CONVOLUTION Part 1: INTRO 1. Just because no one understands you, doesn t mean you re an artist. Rich Hebda. I am reminded of this quote every time I talk about convolution. 2. WORDS:
More informationEEE 184: Introduction to feedback systems
EEE 84: Introduction to feedback systems Summary 6 8 8 x 7 7 6 Level() 6 5 4 4 5 5 time(s) 4 6 8 Time (seconds) Fig.. Illustration of BIBO stability: stable system (the input is a unit step) Fig.. step)
More informationMITOCW watch?v=poho4pztw78
MITOCW watch?v=poho4pztw78 GILBERT STRANG: OK. So this is a video in which we go for second-order equations, constant coefficients. We look for the impulse response, the key function in this whole business,
More informationControl Systems Design
ELEC4410 Control Systems Design Lecture 13: Stability Julio H. Braslavsky julio@ee.newcastle.edu.au School of Electrical Engineering and Computer Science Lecture 13: Stability p.1/20 Outline Input-Output
More informationSingle-Time-Constant (STC) Circuits This lecture is given as a background that will be needed to determine the frequency response of the amplifiers.
Single-Time-Constant (STC) Circuits This lecture is given as a background that will be needed to determine the frequency response of the amplifiers. Objectives To analyze and understand STC circuits with
More informationIntroduction to the z-transform
z-transforms and applications Introduction to the z-transform The z-transform is useful for the manipulation of discrete data sequences and has acquired a new significance in the formulation and analysis
More informationIdentification Methods for Structural Systems
Prof. Dr. Eleni Chatzi System Stability Fundamentals Overview System Stability Assume given a dynamic system with input u(t) and output x(t). The stability property of a dynamic system can be defined from
More informationRaktim Bhattacharya. . AERO 422: Active Controls for Aerospace Vehicles. Dynamic Response
.. AERO 422: Active Controls for Aerospace Vehicles Dynamic Response Raktim Bhattacharya Laboratory For Uncertainty Quantification Aerospace Engineering, Texas A&M University. . Previous Class...........
More informationCalculus: What is a Limit? (understanding epislon-delta proofs)
Calculus: What is a Limit? (understanding epislon-delta proofs) Here is the definition of a limit: Suppose f is a function. We say that Lim aa ff() = LL if for every εε > 0 there is a δδ > 0 so that if
More informationDesign and Optimization of Energy Systems Prof. C. Balaji Department of Mechanical Engineering Indian Institute of Technology, Madras
Design and Optimization of Energy Systems Prof. C. Balaji Department of Mechanical Engineering Indian Institute of Technology, Madras Lecture - 09 Newton-Raphson Method Contd We will continue with our
More informationControl Systems Engineering (Chapter 2. Modeling in the Frequency Domain) Prof. Kwang-Chun Ho Tel: Fax:
Control Systems Engineering (Chapter 2. Modeling in the Frequency Domain) Prof. Kwang-Chun Ho kwangho@hansung.ac.kr Tel: 02-760-4253 Fax:02-760-4435 Overview Review on Laplace transform Learn about transfer
More informationECEN 605 LINEAR SYSTEMS. Lecture 20 Characteristics of Feedback Control Systems II Feedback and Stability 1/27
1/27 ECEN 605 LINEAR SYSTEMS Lecture 20 Characteristics of Feedback Control Systems II Feedback and Stability Feedback System Consider the feedback system u + G ol (s) y Figure 1: A unity feedback system
More information20. The pole diagram and the Laplace transform
95 0. The pole diagram and the Laplace transform When working with the Laplace transform, it is best to think of the variable s in F (s) as ranging over the complex numbers. In the first section below
More informationECE-202 FINAL April 30, 2018 CIRCLE YOUR DIVISION
ECE 202 Final, Spring 8 ECE-202 FINAL April 30, 208 Name: (Please print clearly.) Student Email: CIRCLE YOUR DIVISION DeCarlo- 7:30-8:30 DeCarlo-:30-2:45 2025 202 INSTRUCTIONS There are 34 multiple choice
More information27. The pole diagram and the Laplace transform
124 27. The pole diagram and the Laplace transform When working with the Laplace transform, it is best to think of the variable s in F (s) as ranging over the complex numbers. In the first section below
More informationSECTION 9.2: ARITHMETIC SEQUENCES and PARTIAL SUMS
(Chapter 9: Discrete Math) 9.11 SECTION 9.2: ARITHMETIC SEQUENCES and PARTIAL SUMS PART A: WHAT IS AN ARITHMETIC SEQUENCE? The following appears to be an example of an arithmetic (stress on the me ) sequence:
More informationMath 31 Lesson Plan. Day 2: Sets; Binary Operations. Elizabeth Gillaspy. September 23, 2011
Math 31 Lesson Plan Day 2: Sets; Binary Operations Elizabeth Gillaspy September 23, 2011 Supplies needed: 30 worksheets. Scratch paper? Sign in sheet Goals for myself: Tell them what you re going to tell
More informationECE317 : Feedback and Control
ECE317 : Feedback and Control Lecture : Stability Routh-Hurwitz stability criterion Dr. Richard Tymerski Dept. of Electrical and Computer Engineering Portland State University 1 Course roadmap Modeling
More informationEE-202 Exam II March 3, 2008
EE-202 Exam II March 3, 2008 Name: (Please print clearly) Student ID: CIRCLE YOUR DIVISION MORNING 8:30 MWF AFTERNOON 12:30 MWF INSTRUCTIONS There are 12 multiple choice worth 5 points each and there is
More informationProblem set 5 solutions 1
Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science 6.242, Fall 24: MODEL REDUCTION Problem set 5 solutions Problem 5. For each of the stetements below, state
More informationModule 4. Related web links and videos. 1. FT and ZT
Module 4 Laplace transforms, ROC, rational systems, Z transform, properties of LT and ZT, rational functions, system properties from ROC, inverse transforms Related web links and videos Sl no Web link
More informationNotes for ECE-320. Winter by R. Throne
Notes for ECE-3 Winter 4-5 by R. Throne Contents Table of Laplace Transforms 5 Laplace Transform Review 6. Poles and Zeros.................................... 6. Proper and Strictly Proper Transfer Functions...................
More informationCS 124 Math Review Section January 29, 2018
CS 124 Math Review Section CS 124 is more math intensive than most of the introductory courses in the department. You re going to need to be able to do two things: 1. Perform some clever calculations to
More information6.241 Dynamic Systems and Control
6.241 Dynamic Systems and Control Lecture 12: I/O Stability Readings: DDV, Chapters 15, 16 Emilio Frazzoli Aeronautics and Astronautics Massachusetts Institute of Technology March 14, 2011 E. Frazzoli
More informationAdvanced Analog Building Blocks. Prof. Dr. Peter Fischer, Dr. Wei Shen, Dr. Albert Comerma, Dr. Johannes Schemmel, etc
Advanced Analog Building Blocks Prof. Dr. Peter Fischer, Dr. Wei Shen, Dr. Albert Comerma, Dr. Johannes Schemmel, etc 1 Topics 1. S domain and Laplace Transform Zeros and Poles 2. Basic and Advanced current
More informationLecture 9 Time-domain properties of convolution systems
EE 12 spring 21-22 Handout #18 Lecture 9 Time-domain properties of convolution systems impulse response step response fading memory DC gain peak gain stability 9 1 Impulse response if u = δ we have y(t)
More informationModule 4 : Laplace and Z Transform Lecture 36 : Analysis of LTI Systems with Rational System Functions
Module 4 : Laplace and Z Transform Lecture 36 : Analysis of LTI Systems with Rational System Functions Objectives Scope of this Lecture: Previously we understood the meaning of causal systems, stable systems
More informationMATH 12 CLASS 5 NOTES, SEP
MATH 12 CLASS 5 NOTES, SEP 30 2011 Contents 1. Vector-valued functions 1 2. Differentiating and integrating vector-valued functions 3 3. Velocity and Acceleration 4 Over the past two weeks we have developed
More informationChapter 6: The Laplace Transform. Chih-Wei Liu
Chapter 6: The Laplace Transform Chih-Wei Liu Outline Introduction The Laplace Transform The Unilateral Laplace Transform Properties of the Unilateral Laplace Transform Inversion of the Unilateral Laplace
More informationMath Lecture 4 Limit Laws
Math 1060 Lecture 4 Limit Laws Outline Summary of last lecture Limit laws Motivation Limits of constants and the identity function Limits of sums and differences Limits of products Limits of polynomials
More informationAn Introduction to Control Systems
An Introduction to Control Systems Signals and Systems: 3C1 Control Systems Handout 1 Dr. David Corrigan Electronic and Electrical Engineering corrigad@tcd.ie November 21, 2012 Recall the concept of a
More informationMath Calculus f. Business and Management - Worksheet 12. Solutions for Worksheet 12 - Limits as x approaches infinity
Math 0 - Calculus f. Business and Management - Worksheet 1 Solutions for Worksheet 1 - Limits as approaches infinity Simple Limits Eercise 1: Compute the following its: 1a : + 4 1b : 5 + 8 1c : 5 + 8 Solution
More informationCH.6 Laplace Transform
CH.6 Laplace Transform Where does the Laplace transform come from? How to solve this mistery that where the Laplace transform come from? The starting point is thinking about power series. The power series
More informationSolutions to Math 53 Math 53 Practice Final
Solutions to Math 5 Math 5 Practice Final 20 points Consider the initial value problem y t 4yt = te t with y 0 = and y0 = 0 a 8 points Find the Laplace transform of the solution of this IVP b 8 points
More informationEE Experiment 11 The Laplace Transform and Control System Characteristics
EE216:11 1 EE 216 - Experiment 11 The Laplace Transform and Control System Characteristics Objectives: To illustrate computer usage in determining inverse Laplace transforms. Also to determine useful signal
More informationBiostatistics and Design of Experiments Prof. Mukesh Doble Department of Biotechnology Indian Institute of Technology, Madras
Biostatistics and Design of Experiments Prof. Mukesh Doble Department of Biotechnology Indian Institute of Technology, Madras Lecture - 39 Regression Analysis Hello and welcome to the course on Biostatistics
More information12/20/2017. Lectures on Signals & systems Engineering. Designed and Presented by Dr. Ayman Elshenawy Elsefy
//7 ectures on Signals & systems Engineering Designed and Presented by Dr. Ayman Elshenawy Elsefy Dept. of Systems & Computer Eng. Al-Azhar University Email : eaymanelshenawy@yahoo.com aplace Transform
More informationOrdinary Differential Equations Prof. A. K. Nandakumaran Department of Mathematics Indian Institute of Science Bangalore
Ordinary Differential Equations Prof. A. K. Nandakumaran Department of Mathematics Indian Institute of Science Bangalore Module - 3 Lecture - 10 First Order Linear Equations (Refer Slide Time: 00:33) Welcome
More informationMATH 1231 MATHEMATICS 1B CALCULUS. Section 4: - Convergence of Series.
MATH 23 MATHEMATICS B CALCULUS. Section 4: - Convergence of Series. The objective of this section is to get acquainted with the theory and application of series. By the end of this section students will
More informationMath 3361-Modern Algebra Lecture 08 9/26/ Cardinality
Math 336-Modern Algebra Lecture 08 9/26/4. Cardinality I started talking about cardinality last time, and you did some stuff with it in the Homework, so let s continue. I said that two sets have the same
More informationLecture 10: Proportional, Integral and Derivative Actions
MCE441: Intr. Linear Control Systems Lecture 10: Proportional, Integral and Derivative Actions Stability Concepts BIBO Stability and The Routh-Hurwitz Criterion Dorf, Sections 6.1, 6.2, 7.6 Cleveland State
More informationControl Systems I. Lecture 6: Poles and Zeros. Readings: Emilio Frazzoli. Institute for Dynamic Systems and Control D-MAVT ETH Zürich
Control Systems I Lecture 6: Poles and Zeros Readings: Emilio Frazzoli Institute for Dynamic Systems and Control D-MAVT ETH Zürich October 27, 2017 E. Frazzoli (ETH) Lecture 6: Control Systems I 27/10/2017
More informationProblem Weight Score Total 100
EE 350 EXAM IV 15 December 2010 Last Name (Print): First Name (Print): ID number (Last 4 digits): Section: DO NOT TURN THIS PAGE UNTIL YOU ARE TOLD TO DO SO Problem Weight Score 1 25 2 25 3 25 4 25 Total
More informationMITOCW MITRES18_005S10_DiffEqnsMotion_300k_512kb-mp4
MITOCW MITRES18_005S10_DiffEqnsMotion_300k_512kb-mp4 PROFESSOR: OK, this lecture, this day, is differential equations day. I just feel even though these are not on the BC exams, that we've got everything
More informationControl Systems. System response. L. Lanari
Control Systems m i l e r p r a in r e v y n is o System response L. Lanari Outline What we are going to see: how to compute in the s-domain the forced response (zero-state response) using the transfer
More informationECEN 420 LINEAR CONTROL SYSTEMS. Lecture 2 Laplace Transform I 1/52
1/52 ECEN 420 LINEAR CONTROL SYSTEMS Lecture 2 Laplace Transform I Linear Time Invariant Systems A general LTI system may be described by the linear constant coefficient differential equation: a n d n
More informationMAT01A1: Precise Definition of a Limit and Continuity
MAT01A1: Precise Definition of a Limit and Continuity Dr Craig 7 March 2018 Semester Test 1 D1 LAB 110 Be seated by 08h15. Everything up to and including Ch 2.3. Bring student cards. No bags. No calculators.
More informationEE/ME/AE324: Dynamical Systems. Chapter 7: Transform Solutions of Linear Models
EE/ME/AE324: Dynamical Systems Chapter 7: Transform Solutions of Linear Models The Laplace Transform Converts systems or signals from the real time domain, e.g., functions of the real variable t, to the
More informationReview of Linear Time-Invariant Network Analysis
D1 APPENDIX D Review of Linear Time-Invariant Network Analysis Consider a network with input x(t) and output y(t) as shown in Figure D-1. If an input x 1 (t) produces an output y 1 (t), and an input x
More informationSome of the different forms of a signal, obtained by transformations, are shown in the figure. jwt e z. jwt z e
Transform methods Some of the different forms of a signal, obtained by transformations, are shown in the figure. X(s) X(t) L - L F - F jw s s jw X(jw) X*(t) F - F X*(jw) jwt e z jwt z e X(nT) Z - Z X(z)
More informationGEORGIA INSTITUTE OF TECHNOLOGY SCHOOL of ELECTRICAL & COMPUTER ENGINEERING FINAL EXAM. COURSE: ECE 3084A (Prof. Michaels)
GEORGIA INSTITUTE OF TECHNOLOGY SCHOOL of ELECTRICAL & COMPUTER ENGINEERING FINAL EXAM DATE: 30-Apr-14 COURSE: ECE 3084A (Prof. Michaels) NAME: STUDENT #: LAST, FIRST Write your name on the front page
More informationECE 388 Automatic Control
Controllability and State Feedback Control Associate Prof. Dr. of Mechatronics Engineeering Çankaya University Compulsory Course in Electronic and Communication Engineering Credits (2/2/3) Course Webpage:
More informationL2 gains and system approximation quality 1
Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science 6.242, Fall 24: MODEL REDUCTION L2 gains and system approximation quality 1 This lecture discusses the utility
More informationJust-in-Time-Teaching and other gadgets. Richard Cramer-Benjamin Niagara University
Just-in-Time-Teaching and other gadgets Richard Cramer-Benjamin Niagara University http://faculty.niagara.edu/richcb The Class MAT 443 Euclidean Geometry 26 Students 12 Secondary Ed (9-12 or 5-12 Certification)
More informationSIGNALS AND SYSTEMS LABORATORY 4: Polynomials, Laplace Transforms and Analog Filters in MATLAB
INTRODUCTION SIGNALS AND SYSTEMS LABORATORY 4: Polynomials, Laplace Transforms and Analog Filters in MATLAB Laplace transform pairs are very useful tools for solving ordinary differential equations. Most
More informationMathematics Algebra. It is used to describe the world around us.
is a language. It is used to describe the world around us. Can you tell me what this means? N i I i1 If you understand only how to do the math, you will need to know the numbers to see any meaning behind
More informationCHAPTER 6 VECTOR CALCULUS. We ve spent a lot of time so far just looking at all the different ways you can graph
CHAPTER 6 VECTOR CALCULUS We ve spent a lot of time so far just looking at all the different ways you can graph things and describe things in three dimensions, and it certainly seems like there is a lot
More informationSolution of ECE 315 Test #1 Su03
Solution of ECE 5 Test # Su I. point each. A CT function is time inverted and looks the same as it did before it was time inverted. What kind of function is it? Even function Answers like rect or sinc
More informationAcceleration 1-D Motion for Calculus Students (90 Minutes)
Acceleration 1-D Motion for Calculus Students (90 Minutes) Learning Goals: Using graphs and functions, the student will explore the various types of acceleration, as well as how acceleration relates to
More informationMITOCW watch?v=4x0sggrxdii
MITOCW watch?v=4x0sggrxdii The following content is provided under a Creative Commons license. Your support will help MIT OpenCourseWare continue to offer high quality educational resources for free. To
More informationPROFESSOR: WELCOME BACK TO THE LAST LECTURE OF THE SEMESTER. PLANNING TO DO TODAY WAS FINISH THE BOOK. FINISH SECTION 6.5
1 MATH 16A LECTURE. DECEMBER 9, 2008. PROFESSOR: WELCOME BACK TO THE LAST LECTURE OF THE SEMESTER. I HOPE YOU ALL WILL MISS IT AS MUCH AS I DO. SO WHAT I WAS PLANNING TO DO TODAY WAS FINISH THE BOOK. FINISH
More informationMath 1B Final Exam, Solution. Prof. Mina Aganagic Lecture 2, Spring (6 points) Use substitution and integration by parts to find:
Math B Final Eam, Solution Prof. Mina Aganagic Lecture 2, Spring 20 The eam is closed book, apart from a sheet of notes 8. Calculators are not allowed. It is your responsibility to write your answers clearly..
More informationData Mining Prof. Pabitra Mitra Department of Computer Science & Engineering Indian Institute of Technology, Kharagpur
Data Mining Prof. Pabitra Mitra Department of Computer Science & Engineering Indian Institute of Technology, Kharagpur Lecture 21 K - Nearest Neighbor V In this lecture we discuss; how do we evaluate the
More informationMATH 115, SUMMER 2012 LECTURE 12
MATH 115, SUMMER 2012 LECTURE 12 JAMES MCIVOR - last time - we used hensel s lemma to go from roots of polynomial equations mod p to roots mod p 2, mod p 3, etc. - from there we can use CRT to construct
More informationso mathematically we can say that x d [n] is a discrete-time signal. The output of the DT system is also discrete, denoted by y d [n].
ELEC 36 LECURE NOES WEEK 9: Chapters 7&9 Chapter 7 (cont d) Discrete-ime Processing of Continuous-ime Signals It is often advantageous to convert a continuous-time signal into a discrete-time signal so
More informationCopyright c 2008 Kevin Long
Lecture Separation of variables In the previous lecture we found that integrating both sides of the equation led to an integral dv = 3 8v (.1) dt 8 v(t) dt whose value we couldn t compute because v(t)
More informationMITOCW watch?v=pqkyqu11eta
MITOCW watch?v=pqkyqu11eta The following content is provided under a Creative Commons license. Your support will help MIT OpenCourseWare continue to offer high quality educational resources for free. To
More informationMITOCW ocw f99-lec23_300k
MITOCW ocw-18.06-f99-lec23_300k -- and lift-off on differential equations. So, this section is about how to solve a system of first order, first derivative, constant coefficient linear equations. And if
More informationLaplace Transform Part 1: Introduction (I&N Chap 13)
Laplace Transform Part 1: Introduction (I&N Chap 13) Definition of the L.T. L.T. of Singularity Functions L.T. Pairs Properties of the L.T. Inverse L.T. Convolution IVT(initial value theorem) & FVT (final
More informationEA2.3 - Electronics 2 1
In the previous lecture, I talked about the idea of complex frequency s, where s = σ + jω. Using such concept of complex frequency allows us to analyse signals and systems with better generality. In this
More information7.1 Introduction. Apago PDF Enhancer. Definition and Test Inputs. 340 Chapter 7 Steady-State Errors
340 Chapter 7 Steady-State Errors 7. Introduction In Chapter, we saw that control systems analysis and design focus on three specifications: () transient response, (2) stability, and (3) steady-state errors,
More informationLaplace Transforms and use in Automatic Control
Laplace Transforms and use in Automatic Control P.S. Gandhi Mechanical Engineering IIT Bombay Acknowledgements: P.Santosh Krishna, SYSCON Recap Fourier series Fourier transform: aperiodic Convolution integral
More informationSolve Wave Equation from Scratch [2013 HSSP]
1 Solve Wave Equation from Scratch [2013 HSSP] Yuqi Zhu MIT Department of Physics, 77 Massachusetts Ave., Cambridge, MA 02139 (Dated: August 18, 2013) I. COURSE INFO Topics Date 07/07 Comple number, Cauchy-Riemann
More informationECE : Linear Circuit Analysis II
Purdue University School of Electrical and Computer Engineering ECE 20200 : Linear Circuit Analysis II Summer 2014 Instructor: Aung Kyi San Instructions: Midterm Examination I July 2, 2014 1. Wait for
More informationYOU CAN BACK SUBSTITUTE TO ANY OF THE PREVIOUS EQUATIONS
The two methods we will use to solve systems are substitution and elimination. Substitution was covered in the last lesson and elimination is covered in this lesson. Method of Elimination: 1. multiply
More informationEEE105 Teori Litar I Chapter 7 Lecture #3. Dr. Shahrel Azmin Suandi Emel:
EEE105 Teori Litar I Chapter 7 Lecture #3 Dr. Shahrel Azmin Suandi Emel: shahrel@eng.usm.my What we have learnt so far? Chapter 7 introduced us to first-order circuit From the last lecture, we have learnt
More informationMITOCW watch?v=fkfsmwatddy
MITOCW watch?v=fkfsmwatddy PROFESSOR: We've seen a lot of functions in introductory calculus-- trig functions, rational functions, exponentials, logs and so on. I don't know whether your calculus course
More informationMITOCW watch?v=b1ekhyc9tto
MITOCW watch?v=b1ekhyc9tto The following content is provided under a Creative Commons license. Your support will help MIT OpenCourseWare continue to offer high-quality quality educational resources for
More informationDiscrete and continuous dynamic systems
Discrete and continuous dynamic systems Bounded input bounded output (BIBO) and asymptotic stability Continuous and discrete time linear time-invariant systems Katalin Hangos University of Pannonia Faculty
More information2. FUNCTIONS AND ALGEBRA
2. FUNCTIONS AND ALGEBRA You might think of this chapter as an icebreaker. Functions are the primary participants in the game of calculus, so before we play the game we ought to get to know a few functions.
More informationMITOCW watch?v=hdyabia-dny
MITOCW watch?v=hdyabia-dny The following content is provided under a Creative Commons license. Your support will help MIT OpenCourseWare continue to offer high quality educational resources for free. To
More informationDefinition of the Laplace transform. 0 x(t)e st dt
Definition of the Laplace transform Bilateral Laplace Transform: X(s) = x(t)e st dt Unilateral (or one-sided) Laplace Transform: X(s) = 0 x(t)e st dt ECE352 1 Definition of the Laplace transform (cont.)
More informationPosition and Displacement
Position and Displacement Ch. in your text book Objectives Students will be able to: ) Explain the difference between a scalar and a vector quantity ) Explain the difference between total distance traveled
More informationLecture 11 - Basic Number Theory.
Lecture 11 - Basic Number Theory. Boaz Barak October 20, 2005 Divisibility and primes Unless mentioned otherwise throughout this lecture all numbers are non-negative integers. We say that a divides b,
More informationIn other words, we are interested in what is happening to the y values as we get really large x values and as we get really small x values.
Polynomial functions: End behavior Solutions NAME: In this lab, we are looking at the end behavior of polynomial graphs, i.e. what is happening to the y values at the (left and right) ends of the graph.
More informationMA 3280 Lecture 05 - Generalized Echelon Form and Free Variables. Friday, January 31, 2014.
MA 3280 Lecture 05 - Generalized Echelon Form and Free Variables Friday, January 31, 2014. Objectives: Generalize echelon form, and introduce free variables. Material from Section 3.5 starting on page
More informationCircuit Theory Prof. S.C. Dutta Roy Department of Electrical Engineering Indian Institute of Technology, Delhi
Circuit Theory Prof. S.C. Dutta Roy Department of Electrical Engineering Indian Institute of Technology, Delhi Lecture - 43 RC and RL Driving Point Synthesis People will also have to be told I will tell,
More informationQ You mentioned that in complex analysis we study analytic functions, or, in another name, holomorphic functions. Pray tell me, what are they?
COMPLEX ANALYSIS PART 2: ANALYTIC FUNCTIONS Q You mentioned that in complex analysis we study analytic functions, or, in another name, holomorphic functions. Pray tell me, what are they? A There are many
More information