Chapter 3. f(x) == [. k 1 =? - == k

Similar documents
. 2' 22 2xsint. v = xx =- x + --< -2v + 1 l+x2. u= -2u + 1, u(o) = 2. Ix(t)1 = vv(t) $ 2. l~txtxl $ 2I/xIl2I1f(t,x)1I2 $ 2Lllxll~

Nonlinear Control Systems

Nonlinear Control Lecture # 1 Introduction. Nonlinear Control

LMI Methods in Optimal and Robust Control

Nonlinear Systems and Control Lecture # 12 Converse Lyapunov Functions & Time Varying Systems. p. 1/1

cc) c, >o,, c, =c7 $"(x\ <o - S ~ Z

Nonlinear Control. Nonlinear Control Lecture # 2 Stability of Equilibrium Points

Formulas to remember

Sample Questions Exam II, FS2009 Paulette Saab Calculators are neither needed nor allowed.

Nonlinear Control. Nonlinear Control Lecture # 8 Time Varying and Perturbed Systems

Exam VI Section I Part A - No Calculators

Problem Set 1. This week. Please read all of Chapter 1 in the Strauss text.

MATH 31BH Homework 5 Solutions

Maxima and Minima. (a, b) of R if

Chapter #4 EEE8086-EEE8115. Robust and Adaptive Control Systems

S(x) Section 1.5 infinite Limits. lim f(x)=-m x --," -3 + Jkx) - x ~

Sec 4.1 Limits, Informally. When we calculated f (x), we first started with the difference quotient. f(x + h) f(x) h

Nonlinear Control. Nonlinear Control Lecture # 8 Time Varying and Perturbed Systems

Multivariable Calculus

Existence and uniqueness of solutions for nonlinear ODEs

("-1/' .. f/ L) I LOCAL BOUNDEDNESS OF NONLINEAR, MONOTONE OPERA TORS. R. T. Rockafellar. MICHIGAN MATHEMATICAL vol. 16 (1969) pp.

Real Analysis, 2nd Edition, G.B.Folland Elements of Functional Analysis

GRONWALL'S INEQUALITY FOR SYSTEMS OF PARTIAL DIFFERENTIAL EQUATIONS IN TWO INDEPENDENT VARIABLES

Exam February h

1. The graph of a function f is given above. Answer the question: a. Find the value(s) of x where f is not differentiable. Ans: x = 4, x = 3, x = 2,

Partial differential equations (ACM30220)

LB 220 Homework 4 Solutions

f(x, y) = 1 sin(2x) sin(2y) and determine whether each is a maximum, minimum, or saddle. Solution: Critical points occur when f(x, y) = 0.

Final Exam Practice Problems Math 428, Spring 2017

Lecture 4. Chapter 4: Lyapunov Stability. Eugenio Schuster. Mechanical Engineering and Mechanics Lehigh University.

Nonlinear Systems Theory

Title Problems. Citation 経営と経済, 65(2-3), pp ; Issue Date Right

Prof. Krstic Nonlinear Systems MAE281A Homework set 1 Linearization & phase portrait

Partial Differential Equations

Theory of Ordinary Differential Equations

Mathematics of Physics and Engineering II: Homework answers You are encouraged to disagree with everything that follows. P R and i j k 2 1 1

h(x) lim H(x) = lim Since h is nondecreasing then h(x) 0 for all x, and if h is discontinuous at a point x then H(x) > 0. Denote

Measure and Integration: Solutions of CW2

ON DIVISION ALGEBRAS*

Grade: The remainder of this page has been left blank for your workings. VERSION E. Midterm E: Page 1 of 12

or - CHAPTER 7 Applications of Integration Section 7.1 Area of a Region Between Two Curves 1. A= ~2[0- (x :2-6x)] dr=-~2(x 2-6x) dr

Solutions of Spring 2008 Final Exam

Exponential Functions" Differentiation and lintegration

Convergence & Continuity

Differential Equations: Homework 2

Half of Final Exam Name: Practice Problems October 28, 2014

MATH 220 solution to homework 4

Find the indicated derivative. 1) Find y(4) if y = 3 sin x. A) y(4) = 3 cos x B) y(4) = 3 sin x C) y(4) = - 3 cos x D) y(4) = - 3 sin x

EFFECTIVE CONDUCTIVITY, DIELECTRIC CONSTANT AND PERMEABILITY OF A DILUTE SUSPENSION*)

THE REGULARITY OF MAPPINGS WITH A CONVEX POTENTIAL LUIS A. CAFFARELLI

Metric Spaces and Topology

Solutions to Final Exam Sample Problems, Math 246, Spring 2011

A brief introduction to ordinary differential equations

Linear and non-linear programming

Deterministic Dynamic Programming

Section 4.2. Types of Differentiation

d(x n, x) d(x n, x nk ) + d(x nk, x) where we chose any fixed k > N

Entrance Exam, Differential Equations April, (Solve exactly 6 out of the 8 problems) y + 2y + y cos(x 2 y) = 0, y(0) = 2, y (0) = 4.

Multiple Choice Answers. MA 113 Calculus I Spring 2018 Exam 2 Tuesday, 6 March Question

/ =0. (c) Section P.3 Functions and Their Graphs. (c) g(-2) = 5-(-2) 2 = 5-4 = 1. (e) g(x) = 0 for x = -I, 1 and 2. 2.

Časopis pro pěstování matematiky

A nonlinear equation is any equation of the form. f(x) = 0. A nonlinear equation can have any number of solutions (finite, countable, uncountable)

CALCULUS Exercise Set 2 Integration

(1) u (t) = f(t, u(t)), 0 t a.

Homework Solutions:

---_._-_ _._._-... _ (56-r1S:_~0.~~\<;).e~~~b::;.~ 11<3<3 G

1 Lyapunov theory of stability

(2) Let f(x) = a 2 x if x<2, 4 2x 2 ifx 2. (b) Find the lim f(x). (c) Find all values of a that make f continuous at 2. Justify your answer.

4. We accept without proofs that the following functions are differentiable: (e x ) = e x, sin x = cos x, cos x = sin x, log (x) = 1 sin x

Regularity for Poisson Equation

On the convergence of interpolatory-type quadrature rules for evaluating Cauchy integrals

Mth Review Problems for Test 2 Stewart 8e Chapter 3. For Test #2 study these problems, the examples in your notes, and the homework.

Optimization and Calculus

Derivatives and Integrals

Solutions to Calculus problems. b k A = limsup n. a n limsup b k,

Set 3: Multiple-Choice Questions on Differentiation

Solutions to Homework 2

There are some trigonometric identities given on the last page.

Linear Regression. Machine Learning CSE546 Kevin Jamieson University of Washington. Oct 2, Kevin Jamieson 1

-,~. Implicit Differentiation. 1. r + T = X2 - y2 = x3-xy+y2=4. ry' + 2xy + T + 2yxy' = 0 (r + 2xy)y'= _(y2+ 2xy)

Practice problems from old exams for math 132 William H. Meeks III

MAT 570 REAL ANALYSIS LECTURE NOTES. Contents. 1. Sets Functions Countability Axiom of choice Equivalence relations 9

3 (Due ). Let A X consist of points (x, y) such that either x or y is a rational number. Is A measurable? What is its Lebesgue measure?

ON THE DEGREE OF APPROXIMATION BY POSITIVE LINEAR OPERATORS USING THE B SUMMABILITY METHOD.* A.S. RANADIVE and S.P. SINGH. for n +I ::; m ::; n +p

ON THE HK COMPLETIONS OF SEQUENCE SPACES. Abduallah Hakawati l, K. Snyder2 ABSTRACT

Derivatives of Functions from R n to R m

Nonlinear equations. Norms for R n. Convergence orders for iterative methods

Name: Instructor: 1. a b c d e. 15. a b c d e. 2. a b c d e a b c d e. 16. a b c d e a b c d e. 4. a b c d e... 5.

The Convergence of the Minimum Energy Estimator

PRACTICE PROBLEMS FOR MIDTERM I

Math 251, Spring 2005: Exam #2 Preview Problems

Econ Lecture 14. Outline

NO CALCULATORS: 1. Find A) 1 B) 0 C) D) 2. Find the points of discontinuity of the function y of discontinuity.

\I~= Ixllim ~=clxl < 1 for

Static Problem Set 2 Solutions

DISCRETE GRONWALL LEMMA AND APPLICATIONS

Problem set 5, Real Analysis I, Spring, otherwise. (a) Verify that f is integrable. Solution: Compute since f is even, 1 x (log 1/ x ) 2 dx 1

Ordinary Differential Equation Theory

A review of stability and dynamical behaviors of differential equations:

Econ 204 Differential Equations. 1 Existence and Uniqueness of Solutions

Transcription:

Chapter 3 3.1 (1) The term Ixl is not continuously differentiable at x == 0, but it is globally Lipschitz. The term x2 is continuously differentiable, but its partial derivative is not globally bounded. Thus f == x 2 + Ixl is not continuously differentiable at x == O. It is continuously differentiable on a domain that does not include x == O. It is locally Lipschitz, hence continuous, but not globally Lipschitz. (2) The term sgn(x) is discontinuous at x == O. Thus, f(x) == x + sgn(x) does not have any of the four properties in a domain that contains x == O. (3) f(x) == sin(x) sgn(x) is globally Lipschitz. This can be seen as follows..if both x and yare nonnegative, we have If(x) - f(y)1 == I sin(x) - sin(y)1 :5 Ix - yl If x 2: 0 and y :5 0, we have If(x) - f(y)1 == Isin(x}+.sin(y)I == 12 sin(!(x + V»~ cos(!(x - y»1 :5 Ix - yl Other cases can be dealt with similarly to conclude that If(x) - f(y)1 :5 Ix - yl for all x,y. It follows that f is both locally Lipschitz and continuous. It is not continuously differentiable at x == 0 because lim~-to+ f'(x) == +1 while lim~-to- f'(x) == -1. (4) f(x) == -x + asinx is continuously differentiable. Hence, it is locally Lipschitz and continuous. *== -1 + a cos x is globally bounded. Hence, it is globally Lipschitz. (5) f(x) == -x + 21xl is not continuously differentiable. It is globally Lipschitz because both x and Ixl are so. Hence, it is locally Lipschitz. (6) f(x) == tan(x) is continuously differentiable in the open interval -7r/2 < x < 7r/2. Hence, it is locally Lipschitz and continuous in the same interval. Its derivative sec2(x) is not globally bounded; hence, it is not globally Lipschitz. (7) The function tanh(y) is continuously differentiable and its derivative 1/cosh2(y) is globally bounded; hence it is globally Lipschitz. Clearly, the linear function y is both continuously differentiable and globally Lipschitz. Hence, f has all four properties. (8) f is not continuously differentiable due to the term IX21 in fl. Check the Lipschitz property component by component. fl is globally Lipschitz as can be easily checked. h is continuously differentiable, but its partial derivatives are not globally bounded. Hence h is locally Lipschitz but not globally so. Since both h and h are locally Lipschitz, so is f Since f is locally Lipschitz, it is continuous. f is not globally Lipschitz since h is not so. 3.2 (1) X2 ] af [0 1] f(x) == [. k 1 =? - == k - f smxl - ;nx2 + mf':t ax - f cos Xl -;n [oflax] is globally bounded. Hence f is globally Lipschitz, which implies that it is locally Lipschitz on Dr for any r > O. (2) 45

46 CHAPTER 3. [of/ax] is continuous everywhere; hence it is bounded on the bounded set Dr Thus f is locally Lipschitz on Dr for any finite r > O. It is not globally Lipschitz since [of/ax] is not globally bounded. (3) TJ(Xl, X2) is discontinuous at X2 = O. Hence it is not locally Lipschitz at the origin. This means it is not locally Lipschitz on Dr for any r > O. (4) f( ) - [ X2 ] 8f _ [0 1] x - -Xl - eel - X~)X2 :::} 8x - -1-2eXIX2 -eel - xn [oflax] is continuous on Dr; hence f is locally Lipschitz on Dr for any r > O. bounded; hence f is not globally Lipschitz. (5) Let x = [eo, t/>b </>2]T. amx! + kpx2r(t) + kpxa(xl + Ym(t}) 1 f(t,x) = [ -7Xl r(t) -7Xl(Xl + Ym(t)).. [oflax] is not globally [af/ox] is continuous and bounded on Dr for bounded r(t} and Ym(t}. Hence f is locally Lipschitz. It is not globally Lipschitz since [oflax] is not globally bounded. (6) f(x) = Ax - B'I/J(Cx) where 'I/J(.) is a dead-zone nonlinearity. The dead-zone nonlinearity is globally Lipschitz. Hence f is globally Lipschitz, which implies that it is locally Lipschitz on Dr for any r > O. 3.3 For each Xo E R, there exist positive constants r, L 1, ~, ki, and k2 such that!ft(x) - ft(y)1 $ L1lx - YI, Ih(x) - h(y)1 $ L21x - YI, Ift(x)1 $ k}, Ih(x)1 $ k2 for all X,Y E {x E R Ilx - xo/ < r}. For f = ft + 12, we have For f = hh, we have If(x) - f(y)1 = 1ft (x)h(x) - h(y)h(y)1 = Ift(x)h(x) - ft(x)h(y) + ft(x)h(y) - h(y)h(y)i $ Ih(x)1!h(x) - hey)! + Ih,(y)llh(x) - h(y)1 $ k1l 21x - yl + k2l 1 lx - yl $ (kll2 + ~Ll)ix - y! For f =h 0 h, we have If(x) - f(y)l = Ih(fl(X» - h(h(y»1 $ ~Ih(x) - h(y)1 $ L2L lix - yl 3.4 The function f can be written as f(x) = g(x)kxh('l/j(x» where l. t/1, if'i/j?; 1-'> 0 { h('i/j) = 1. p' if tp < J.' and 'l/j(x) = g(x)iikxll The norm function 11KxII is Lipschitz since I IIKxll-IlKyll I $ IIKx - Kyll $IIKllllx - yll

Using the previous exercise, we see that 'I/;(x) is Lipschitz on any compact set. Furthermore, g(x)kx is also Lipschitz. Thus, f(x) will be Lipschitz on any compact set if we can show that h('i/;) is Lipschitz in 'ljj over any compact interval [0, b]. Now if '1/;1 ~ IJ and '1/;2 ~ IJ, we have 47 IT '1/;2 ~ Il and '1/;1 < Il, we have IT '1/;1 < Il and '1/;2 < Il, we have Ih('I/;2) - h('i/;dl = I.!. -.!.I = 0 ~.!.1'I/;2 - '1/;11 Il Il 1J2 Thus h('i/;) is Lipschitz with a Lipschitz constant I/1J2. 3.5 There are positive constants C1 and C2 such that Suppose III(y) - f(x)lia ~ LallY - xlla IIf(y) - f(x)lit3 ~ c2i1f(y) - f(x)lia ~ c2laily - xlla ::; c2la IIY - xlli3 C1 Similarly, it can be shown that if f is Lipschitz in the {1-norm, it will be Lipschitz in the a-norm. 3.6 (a) By Gronwall-Bellman inequality Integrating by parts, we obtain x(t) = Xo + rt f(r,x(r» dr IIx(t) II ~ IIxoll + f IIf(r, x'(r» II dr t ~ IIxoll+ r[k1 +k2 I1x(r)lIldr = IIxoll + k1(t - to) + k2 rt IIx(r) II dr Hx(t)1I ~ IIxoll + kl (t - to) + rt [IIxoll + kl (s - to)]k2ek2 (t-s) ds kl IIx(t)1I ~ IIxoll exp[k2(t - to)] + k2 {exp[k2(t - to)] - I}, V t, ~ to (b) The upper bound on IIx(t)1I is finite for every finite t. It tends to 00 as t -+ 00. Hence the solution of the system cannot have a finite escape time.

48 CHAPTER 3. 3.7 It can be easily verified that f(x) is continuously differentiable. Hence, local existence and uniqueness follows from Theorem 3.1. lourthermore, IIg(x) 112 1 IIf(x)1I2 = 1 + IIg(x)lI~ :s "2 Hence 1 IIx(t)1I2 $ IIxol12 + "2(t - to) which shows that the solution is defined for all t 2: to. " 3.8 It can be easily seen that f(x) is continuously differentiable and for some positive constants kl and k2 Apply Exercise 3.6. 3.9 Due to uniqueness of solution, trajectories in the plane cannot intersect. Therefore, all trajectories starting in the region enclosed by the limit cycle must remain in that region. The closure of this region is a compact set. Therefore, the solution must stay in a compact set. Apply Theorem 3.3. 3,10 where R = 1.5, u = 1.2, and the nominal values of e and L are 2 and 5, respectively. Let>. = [e, L]T. The Jacobian matrices [atlax] and [afloa], are given by of = l r - b\(xd b R ] a~ = [ - b[-h(xt} +X2] 1 0 ] ax 1. - T. - L ' v>. 0 - p(-xl - &2 + u) Evaluate these Jacobian matrices at the nominal values e =2 and L =5. Let 8 = oxi = [X3 X5] a>. nominal X4 X6 s= afl 8+ afl ' 8(0)=0 ax nominal' {)>. nominal Xl = 0.5[-h(XI) + X2] X2 = 0.2(-Xl - 1.5X2 + 1.2) X3 = 0.5[-h'(XI)X3 + X4] - O.25[-h(Xl) + X2] X4 = O.2(-X3-1.5X4) XS = 0.5[-h'(Xl)X5 + X6] X6 = O.2(-X5-1.5X6) - O.04(-Xl - 1.5X2 + 1.2)

49.3.11 Xl =X2, X2 =-Xl + E(l - X~)X2 Denote the nominal values of Eby EO. The Jacobian matrices [8/18x] and [8/18E], are given by Let 8/ [0 1] 8/ [ 0 ] 8x = -1-2EXIX2 e(l- xn ' Be = (1- XnX2 Xl X2 8 = 8x 1 1! = [ X3 ] 8e nomi~al X4 8=8/1 8+ 8 /1 ' 8(0) = 0 = X2 8x nominal = -Xl + eo(l - X~)X2 3;3 = X4 X4 8E nominal = - [1 + 2eOXIX2] X3 + Eo(1- XnX4 + (1 - X~)X2.3.12 Denote the nominal values of e by eo. The Jacobian matrices [8/18x] and [8/18e], are given by Let 8/ = [ 0 ~.] 8/ o[ - ttx2. ] 8x -e E(l ~ x~), 8E = - (Xl - X2 + ix~) 8=axl ae nominal =[X3] X4 8= a/i 8+ 8/1 ' 8(0)=0 1 Xl = -X2 eo ax nominal X2 = -eo (Xl - X2 + ~X~ ) 1 1 X3 = -X4 - -X2 eo eg ae nominal X4 = -eox3 + eo(l - X~)X4 - (Xl - X2 + ~X~)

50 CHAPTER 3. 3.13 Let A= [a, b, ct. The nominal values are ao = 1, bo = 0, and Co = 1. The Jacobian matrices [oflox] and [of loa], are given by Let o of = [ H:2z~ - X2 -Xl 1 of = [ H:~zi ox 2b ' oa 0 2 Xl -c Xl s= ofl 8 + ofl,8(0) =0 ox nominal OA nominal Xl = tan-1(xi) - XIX2 X2 = -X2 (1) Xl X3 = ---X2 X3- XI X4+- l+x~ l+x~ X4 = -X4 XS = (1 : x~.x2) Xs - XIX6 2 X6 = -X6 +XI = (_1 X7 X2) X7 - XIXS l+x~ Xs = -XS -X2 3.14 (a) Let p = [ ~ ] be the vector of parameteis. The sensitivity equation is given by xd cosh2(axd - X2/ cosh2(ax2) ] xii cosh2(axl) + X2/ cosh2p.x2) s= Ao8 + Bo, 8(0) = 0 where Ao and Bo are evaluated at the nominal parameters. This equation should be solved simultaneously with the nominal state equation.

51 (b) rr = Xl%1 + X2%2 = -(1/T)r2 + Xl [tanh('xx1) - tanh(ax2)] + X2[tanh('xX1) + tanh('xxdj = -(1/T)r 2 + r cos (6) [tanh ('xx1 ) - tanh('xx2)] + rsin(6)[tanh('xx1) + tanh('xxdj < -(1/T)r2 + 2r(I cos(6)i + Isin(6)!) < -(1/T)r 2 + 2V2r :t (c) By the comparison lemma, ret) $ u(t) where '1 satisfies the scalar differential equation u = -(1/T)U + 2V2, '1 (0) =reo) = IIx(0)1I2 The solution of this differential equation is u(t) =. exp(-t/t)lix(o)112 + lot exp[-(t - q)/t]2v2 do 3.15 Let V ::: IIxll~ = xr + x~. = exp(-t/t)iix(o)112 + 2V2T[1 - exp(-tit)]. 2 2 2 2 4x1x2 4X1X2 V = 2X1%1 + 2X2%2 = - Xl - x 2 + -.- + - IX21 IX11 :5-2V + 41x11-2 1 +41x21-12 +x2 +x 1 Taking W =v'v = IIxll2' we see that for V =F 0, At V =0, we have l+x~ 1+4 :5-2V + 21x11 + 21x21 (Since 1!~2 :5 ~) :5-2V +2v'2rv (since IIxlh S vnllxll2). 11. r.:: W= -- < -W+v2 2v'V IW(t + h) - W(t)1 = IW(t + h)1 =.!.lix(t + h)1i2 h h h Similar to Example 3.9 of the textbook, it can be shown that 1 [Hh lim -h III(x(1"» 112 dt = 0 h-+o+ t Thus D+W(t) :5 -Wet) + v'2 for all t ~ O. Let u(t) be the solution ofthe differential equation U = -'1 + V2, '1 (0) = IIx(0)1I2 By the comparison lemma,