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Slds Chap 7

Course: ECE 602, Fall 2011
School: Purdue
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Quiz EE-602 Fall Discussion 09 1. Using a forward Euler approximation with h = 0.1, ! x (t k ) = to the differential equation, x (t k + h ) ! x (t k ) h dx !1 = ,!!! x (0 ) = 0.1, compute an dt 2 x estimate for x(0.1). 2. Using separation of variables, solve the diff. equation, dx !1 = ,!!! x (0 ) = 0.1, to compute an exact expression for x(t) and dt 2 x evaluate it at t = 0.1. Compare with your answer to...

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Quiz EE-602 Fall Discussion 09 1. Using a forward Euler approximation with h = 0.1, ! x (t k ) = to the differential equation, x (t k + h ) ! x (t k ) h dx !1 = ,!!! x (0 ) = 0.1, compute an dt 2 x estimate for x(0.1). 2. Using separation of variables, solve the diff. equation, dx !1 = ,!!! x (0 ) = 0.1, to compute an exact expression for x(t) and dt 2 x evaluate it at t = 0.1. Compare with your answer to the Euler approximation of part 1. EE-602,Chap 7, Fall 08 7- 2 R. A. DeCarlo CHAPTER 7: EXISTENCE AND UNIQUENESS OF STATE TRAJECTORIES I. INTRODUCTION: 1. QUESTION 7.1: Precisely, what is meant by a solution to ! x = f ( x, t ), x (t 0 ) = x0 ? ANSWER: ! (", t 0 ; x0 ) denotes a solution if and only if i. ! (t 0 , t 0 ; x0 ) = x0 (satisfies IC), and ! ii. ! (t , t 0 ; x0 ) = f (! (t , t 0 ; x0 ), t ) (satisfies DE) 2. QUESTION 7.2: What does uniqueness of a solution mean? ANSWER: A UNIQUE ! (t , t 0 ; x0 ) means that if !1 and !2 both satisfy the differential equation: ! !i = f (!i , t ) and the same IC !1 (t 0 , t 0 ; x0 ) = !2 (t 0 , t 0 ; x0 ) THEN for all t in R + = {t !|! t ! 0} . !1 (t , t 0 ; x0 ) = !2 (t , t 0 ; x0 ) EE-602,Chap 7, Fall 08 7- 3 R. A. DeCarlo 3. QUESTION 7.3: When does there exist a solution to the nonlinear state dynamics: ! x (t ) = f [ x (t ), t ], x (t 0 ) = x0 where x (t ) ! R n and f (!, !) : R n " R # R n . ANSWER: Momentarily postponed. 3. QUESTION 7.4: Why is EXISTENCE and UNIQUENESS of a solution important? ANSWER VIA MOTIVATIONAL EXAMPLE: OBJECTIVE: Numerically, using forward Euler, and analytically compute solution to ! x= !1 2x x (0 ) = x0 = 0.1 at t = 0.1. Part 1: Numerical solution via Euler at t = 0.1: See Quiz Part 2: Analytic solution via separation of variables: EE-602,Chap 7, Fall 08 7- 4 R. A. DeCarlo II. MATHEMATICAL PRELIMINARIES PART I: NORMS AND NORM PROPERTIES 1. Vector Norms (a) EUCLIDEAN VECTOR NORM: v = ! v1 v2 ! vn # " $ T has 2-norm (Euclidean) 2 2 2 = v1 + v2 + ! + vn v (b) -norm: 2. Proposition: v v ! 2 ! = max vi "v i 2 " nv ! Why are NORMS important? ANSWER: They measure different properties of a function or matrix, like the color of eyes, the color of hair, the height, the weight, the shoe size of the matrix or function. EE-602,Chap 7, Fall 08 7- 5 R. A. DeCarlo 3. THE FUNCTION L OR SUP-NORM (a) Let a(!) : R " R . The L! or sup-norm is a(.) ! = sup a(t ) t (b) Restricted to a domain, D: a(.) !, D = sup a(t ) t "D (c) The vector L! -norm: Let a(!) : R " R n , then a(.) !, D = max ai (t ) i !, D QUESTION: Why is this norm important? ANSWER: It measures the "highest absolute value" a function can achieve over R or over some domain D. EE-602,Chap 7, Fall 08 7- 6 R. A. DeCarlo 4. MATRIX NORMS: (a) Matrix spectral or 2-norm: for a constant matrix A A 2 = max x!0 Ax x 2 = max Ax 2 x =1 2 = "1 where ! 1 is the largest singular value of A. (b) Matrix L-norm of constant A A ! #n = max % " aij i % j =1 $ & ( ( ' (c) Matrix L-norm of A(!) = " aij (!) $ : R & R n' n restricted to # % a domain D is: A(.) !, D = max i " aij (.) j !, D EE-602,Chap 7, Fall 08 7- 7 R. A. DeCarlo EXAMPLE 7.1. Compute the L! -norm of # e! t ! e! t A(t ) = % % ! cos(t ) 2 sin("t ) $ Step 1: Compute L! -norm of row 1: Step 2: Compute L! -norm of row 2: Step 3: Choose largest: & (1+ (t ) ( ' EE-602,Chap 7, Fall 08 7- 8 R. A. DeCarlo 5. MATRIX NORM PROPERTIES: (a) 1 A n ! "A 2 " nA ! (b) Ax 2 ! A 2 x 2 (c) A USEFUL LEMMA: A(!) x 2, D j " A(!) 2, D x j 2 " n A(!) #, D x j 2 EE-602,Chap 7, Fall 08 7- 9 R. A. DeCarlo PART 2. CONTINUITY 1. CONTINUITY IN A DOMAIN: f (!, !) : R n " R # R n is continuous on some domain D ! R n " R if it is continuous at each point of D. Pictorially, 2. LEFT AND RIGHT HAND LIMITS: EE-602,Chap 7, Fall 08 7-10 3. PIECEWISE CONTINUOUS R. A. DeCarlo EE-602,Chap 7, Fall 08 7-11 R. A. DeCarlo III. GLOBAL EXISTENCE AND UNIQUENESS 1. PROBLEM STATEMENT: Determine sufficient conditions for the existence of a unique solution to ! x = f ( x, t ), x (0 ) = x0 where x (t ) ! R n and t ! R + = [ 0,! " ) REMARK: A simple change of variable makes the forthcoming conditions valid over an arbitrary interval [t 0 ,! ! ) . 2. What ASSUMPTIONS are pertinent? i. There is a set S contained in R + containing at most a finite number of points per unit interval. S will depend on f ( x, t ) and will denote possible discontinuity points. ! 1$ REMARK: The points, t, 0 ! t ! 1, for which sin # & = 0 could not "t% be in S. EE-602,Chap 7, Fall 08 7-12 R. A. DeCarlo ii. for each x ! R n , f ( x, t ) is continuous for t ! S . iii. for each x ! R n and for each ti ! S , f ( x, t ) has finite left and right hand limits at t = ti . iv. (!, f !) : R n " R # R n satisfies a global Lipschitz condition-i.e. there exists a piecewise continuous function k (!) : R + " R + such that f ( x1, t ) ! f ( x 2 , t ) 2 " k (t ) x1 ! x 2 for all t ! R + and all points x1, x 2 ! R n . 2 EE-602,Chap 7, Fall 08 7-13 R. A. DeCarlo 3. WHY ARE THESE ASSUMPTIONS PERTINENT? i. For each fixed t , f ( x, t ) is continuous at x ; ii. For each x , the points of discontinuity of f ( x, t ) lie in S; iii. If x (t ) is continuous, f ( x (t ), t ) is piecewise continuous in t . iv. From (i) - (iii), f ( x (t ), t ) is integrable with respect to t and the derivative of its integral equals f ( x (t ), t ) except possibly at t ! S by the fundamental theorem of calculus. v. They allow us to state and prove an existence and uniqueness theorem. EE-602,Chap 7, Fall 08 7-14 R. A. DeCarlo 4. EXISTENCE AND UNIQUENESS THEOREM: Given assumptions (i) through (iv), for each x0 ! R n and t 0 ! R + , there exists a unique continuous function ! (., t 0 ; x0 ) :R+ ---> Rn such that ! i. ! (t , t 0 ; x0 ) = f [! (t , t 0 ; x0 ), t ] , and ii. ! (t 0 , t 0 ; x0 ) = x0 for all t ! R + and t S. 5. EXAMPLE 7.2. Determine if the state equations for the inverted pendulum have a unique solution. The state equations are ! x1 ! # ! # x2 " $! x2 &=# & # q sin( x1 ) %" $ & ' f ( x, t ) = f ( x ) & % The only essential part of the proof is to show that f ( x, t ) is Lipschitz. EE-602,Chap 7, Fall 08 7-15 R. A. DeCarlo EE-602,Chap 7, Fall 08 7-16 R. A. DeCarlo IV. EXISTENCE AND UNIQUENESS OF LINEAR STATE DYNAMICS 1. Linear State Dynamics ! x (t ) = f ( x (t ), t ) = A(t ) x (t ) where A(!) = " aij (!) $ has piecewise continuous entries over the # % interval [t 0 , ! ] . 2. PROPOSITION: If A(!) has piecewise continuous entries on R + then f ( x, t ) = A(t ) x satisfies a global Lipschitz condition on R n ! R + . PROOF: Step 1: Define D j = [ j ! 1, j ) for j = 1,2,3,.... ! Step 2. Observe that ! D j = R+ j =1 EE-602,Chap 7, Fall 08 7-17 R. A. DeCarlo Step 3. For each t ! D j and all points x1, x 2 ! R n . it follows that f ( x1, t ) ! f ( x 2 , t ) 2 = A(t ) " x1 ! x 2 $ # % 2 & A(t ) 2 x1 ! x 2 2 It follows that A(t ) " x1 ! x 2 $ # % 2, D j & n A(t ) ', D x1 ! x 2 j 2 Step 4. Define # % k (t ) = $ % & n A(t ) !, D 0 j t "Dj otherwise Thus A(t ) " x1 ! x 2 $ # % 2 & k (t ) x1 ! x 2 2 means that the right side of our differential equation satisfies a global Lipschitz condition. EE-602,Chap 7, Fall 08 7-18 R. A. DeCarlo 3. THEOREM: A solution ! (", t 0 , x0 , u ) to ! x (t ) = A(t ) x (t ) + B(t ) u (t ) , x (t 0 ) = x0 exists and is unique over [t 0 , ! ) provided A(!) and B(!)u (!) are piecewise continuous over [t 0 , ! ) 1. Corollary: If A(!) is piecewise continuous, a solution, designated ! ! (", t 0 , x0 ) , to x (t ) = A(t ) x (t ) , exists and is unique for each initial conditon x0 . 1 For our work, the solution will be unique even when B(.)u(.) is not piecewise continuous for example when u(t) = (t). EE-602,Chap 7, Fall 08 7-19 R. A. DeCarlo Quiz Questions: Part 1. True-false. Question 1: The differential equation ! x = f ( x, u ) = sin(t )(1 ! 2 x )u (t ) has a unique solution solvable by separation of variables for each initial condition x(0) 0.5 and t 0. Question 2: Consider the state dynamics, ! x (t ) = A(t ) x (t ) + B(t ) u (t ) ! f ( x, t ) . If there exists a unique solution, then f ( x, t ) satisfies a Lipschitz condition. _______________ Question 2: If A(t ) and B(t ) have piecewise continuous entries, then there exists a unique solution. _______________ EE-602,Chap 7, Fall 08 7-20 R. A. DeCarlo Question 3: The state dynamics " 1 1 + cos(t ) ! sin(t ) ! x (t ) = $ $0 exp(! t )1+ (t ) # % ' x (t ) ' & has a unique solution. _______________ ! Problem 1. (a) Suppose x = f(x,t). Precisely state the definition of a Lipschitz condition for f(x,t). (b) Prove or disprove: the state dynamics ! x1 ! # ! # x2 " $ ! t cos(t ) sin( x2 ) &=# & # q cos( x1 ) sin( x1 ) %" $ ! cos(t ) &+# &# 1 %" has a unique solution where q is a non-zero constant. $ & u (t ) & % EE-602,Chap 7, Fall 08 7-21 R. A. DeCarlo Problem 2. Consider the state dynamics ! x = A(t ) f ( x ) + B( x, t )u (t ) (a) State the Lipschitz condition, precisely. (b) Develop conditions on A(t ) , f ( x ) , B( x, t ) , and u (t ) which are sufficient for the existence of a unique solution. Explain your reasoning. EE-602,Chap 7, Fall 08 7-22 OTHER MATHEMATICAL PROPERTIES 1. OTHER VECTOR NORMS n (a) 1-norm: (b) p-norm: v v 1 p = ! vi i =1 "n = $ ! vi $ i =1 # p %1/ p ' ' & 2. VECTOR NORM PROPERTIES (a) v (b) v 2 !v 1 ! nv ! "v 1 "n v 2 ! R. A. DeCarlo
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EEE 425/591: Digital Systems and CircuitsL-19: Adder DesignFall 2011, ASUYu (Kevin) Cao, yu.cao@asu.edu, GWC 336Lab 4/5: A Mini Design Projecta0 b0a1 b1a2 b2a3 b3FCFCFCFCCc0=0c1c2c3RegisterRegistersCL =50fF Design target: a 4-bit bin
ASU - EEE - 591
EEE 425/591: Digital Systems and CircuitsL-20: Sequential CircuitsFall 2011, ASUYu (Kevin) Cao, yu.cao@asu.edu, GWC 336Highlight Sequential logic Data storage mechanisms Basic latch design Circuit structure Design issues Design of a flip-flop D
ASU - EEE - 591
EEE 425/591: Digital Systems and CircuitsL-23: Timing IssuesFall 2011, ASUYu (Kevin) Cao, yu.cao@asu.edu, GWC 336Highlight Timing definitions Delay, setup (tsu) and hold (thold) time Flip-Flop Latch Sequential logic construction Register (flip-f