RELATIVE CONTROLLABILITY OF NONLINEAR SYSTEMS WITH TIME VARYING DELAYS IN CONTROL

Similar documents
CONTROLLABILITY OF NONLINEAR SYSTEMS WITH DELAYS IN BOTH STATE AND CONTROL VARIABLES

Relative Controllability of Fractional Dynamical Systems with Multiple Delays in Control

Nonlinear Control Systems

Časopis pro pěstování matematiky

DELAY INTEGRO DIFFERENTIAL EQUATIONS OF MIXED TYPE IN BANACH SPACES. Tadeusz Jankowski Technical University of Gdańsk, Poland

EXTENSIONS OF A THEOREM OF WINTNER ON SYSTEMS WITH ASYMPTOTICALLY CONSTANT SOLUTIONS WILLIAM F. TRENCH

Application of Measure of Noncompactness for the System of Functional Integral Equations

2 Statement of the problem and assumptions

Ordinary Differential Equation Theory

Functional Differential Equations with Causal Operators

A GENERALIZED UPPER. AND LOWER SOLUTIONS METHOD FOR NONLINEAR SECOND ORDER. ORDINARY DIFFEINTIAL EQUATIONS x

EULER MARUYAMA APPROXIMATION FOR SDES WITH JUMPS AND NON-LIPSCHITZ COEFFICIENTS

Trajectory controllability of semilinear systems with delay in control and state. and Michał Niezabitowski 1, e

Časopis pro pěstování matematiky

THE INVERSION OF A CLASS OF LINER OPERATORS

STOCHASTIC CONTROLLABILITY OF LINEAR SYSTEMS WITH STATE DELAYS

Approximating solutions of nonlinear second order ordinary differential equations via Dhage iteration principle

Brownian Motion. 1 Definition Brownian Motion Wiener measure... 3

610 S.G. HRISTOVA AND D.D. BAINOV 2. Statement of the problem. Consider the initial value problem for impulsive systems of differential-difference equ

LOCAL FIXED POINT THEORY INVOLVING THREE OPERATORS IN BANACH ALGEBRAS. B. C. Dhage. 1. Introduction

Existence And Uniqueness Of Mild Solutions Of Second Order Volterra Integrodifferential Equations With Nonlocal Conditions

Real Analysis Math 131AH Rudin, Chapter #1. Dominique Abdi

EXISTENCE OF SOLUTIONS TO A BOUNDARY-VALUE PROBLEM FOR AN INFINITE SYSTEM OF DIFFERENTIAL EQUATIONS

i;\-'i frz q > R>? >tr E*+ [S I z> N g> F 'x sa :r> >,9 T F >= = = I Y E H H>tr iir- g-i I * s I!,i --' - = a trx - H tnz rqx o >.F g< s Ire tr () -s

Applied Analysis (APPM 5440): Final exam 1:30pm 4:00pm, Dec. 14, Closed books.

Observer design for a general class of triangular systems

THE ANALYSIS OF SOLUTION OF NONLINEAR SECOND ORDER ORDINARY DIFFERENTIAL EQUATIONS

P a g e 5 1 of R e p o r t P B 4 / 0 9

M.S.N. Murty* and G. Suresh Kumar**

176 5 t h Fl oo r. 337 P o ly me r Ma te ri al s

A brief introduction to ordinary differential equations

EXISTENCE AND UNIQUENESS OF SOLUTIONS FOR A SYSTEM OF FRACTIONAL DIFFERENTIAL EQUATIONS 1. Yong Zhou. Abstract

INTEGRABLE SOLUTIONS OF A FUNCTIONAL-INTEGRAL EQUATION. In this paper we consider the following functional-integral equation. k(t, s)g(s, y(s)) ds

Weak and strong convergence of a scheme with errors for three nonexpansive mappings

EXISTENCE THEOREMS FOR FUNCTIONAL DIFFERENTIAL EQUATIONS IN BANACH SPACES. 1. Introduction

Constrained controllability of semilinear systems with delayed controls

Strong convergence of multi-step iterates with errors for generalized asymptotically quasi-nonexpansive mappings

Nonlinear D-set contraction mappings in partially ordered normed linear spaces and applications to functional hybrid integral equations

Existence Results for Multivalued Semilinear Functional Differential Equations

Input-output finite-time stabilization for a class of hybrid systems

Constrained Controllability of Nonlinear Systems

Existence Of Solution For Third-Order m-point Boundary Value Problem

Mathematical Analysis Outline. William G. Faris

Singularities and Laplacians in Boundary Value Problems for Nonlinear Ordinary Differential Equations

Tausend Und Eine Nacht

Controllability of non-densely defined functional differential systems in abstract space

On the Ψ - Exponential Asymptotic Stability of Nonlinear Lyapunov Matrix Differential Equations

Lecture Notes for Math 524

Metric Spaces and Topology

FUZZY SOLUTIONS FOR BOUNDARY VALUE PROBLEMS WITH INTEGRAL BOUNDARY CONDITIONS. 1. Introduction

Viscosity Iterative Approximating the Common Fixed Points of Non-expansive Semigroups in Banach Spaces

Fractional differential equations with integral boundary conditions

Convergence to Common Fixed Point for Two Asymptotically Quasi-nonexpansive Mappings in the Intermediate Sense in Banach Spaces

Control Systems. Laplace domain analysis

Analysis Comprehensive Exam, January 2011 Instructions: Do as many problems as you can. You should attempt to answer completely some questions in both

Nonlinear Analysis 71 (2009) Contents lists available at ScienceDirect. Nonlinear Analysis. journal homepage:

Approximate controllability of impulsive neutral functional differential equations with state-dependent delay via fractional operators

z E z *" I»! HI UJ LU Q t i G < Q UJ > UJ >- C/J o> o C/) X X UJ 5 UJ 0) te : < C/) < 2 H CD O O) </> UJ Ü QC < 4* P? K ll I I <% "fei 'Q f

On Monch type multi-valued maps and fixed points

On the Well-Posedness of the Cauchy Problem for a Neutral Differential Equation with Distributed Prehistory

Linear Ordinary Differential Equations

CONTROLLABILITY OF NONLINEAR DISCRETE SYSTEMS

ON THE ASYMPTOTIC BEHAVIOUR OF NONLINEAR SYSTEMS OF ORDINARY DIFFERENTIAL EQUATIONS

Linear Algebra and its Applications

ON SOME NONLINEAR ALTERNATIVES OF LERAY-SCHAUDER TYPE AND FUNCTIONAL INTEGRAL EQUATIONS

GENERALIZATION OF GRONWALL S INEQUALITY AND ITS APPLICATIONS IN FUNCTIONAL DIFFERENTIAL EQUATIONS

Partial Differential Equations

Calculus of Variations. Final Examination

T h e C S E T I P r o j e c t

Journal of Inequalities in Pure and Applied Mathematics

It = f ( W- D - 4> + Uii,ui) dv + [ U,u da - f.0, da (5.2)

'NOTAS"CRITICAS PARA UNA TEDRIA DE M BUROCRACIA ESTATAL * Oscar Oszlak

Stability for solution of Differential Variational Inequalitiy

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

Econ 204 Differential Equations. 1 Existence and Uniqueness of Solutions

Advances in Difference Equations 2012, 2012:7

ACCURATE SOLUTION ESTIMATE AND ASYMPTOTIC BEHAVIOR OF NONLINEAR DISCRETE SYSTEM

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

,\ I. . <- c}. " C:-)' ) I- p od--- -;::: 'J.--- d, cl cr -- I. ( I) Cl c,\. c. 1\'0\ ~ '~O'-_. e ~.\~\S

Theoretical Tutorial Session 2

Renormings of c 0 and the minimal displacement problem

Representations of Gaussian measures that are equivalent to Wiener measure

On the existence of solution to a boundary value problem of fractional differential equation on the infinite interval

ACM/CMS 107 Linear Analysis & Applications Fall 2016 Assignment 4: Linear ODEs and Control Theory Due: 5th December 2016

LINEAR-CONVEX CONTROL AND DUALITY

Deterministic Dynamic Programming

PERIODIC SOLUTIONS TO SECOND ORDER NONLINEAR DIFFERENTIAL EQUATIONS WITH NON-INSTANTANEOUS IMPULSES

A TWO PARAMETERS AMBROSETTI PRODI PROBLEM*

Ψ-asymptotic stability of non-linear matrix Lyapunov systems

Existence and Uniqueness Results for Nonlinear Implicit Fractional Differential Equations with Boundary Conditions

L2 gains and system approximation quality 1

Common Fixed Point Theorems for Generalisation of R-Weak Commutativity

Stochastic Processes

2 Sequences, Continuity, and Limits

EXISTENCE AND UNIQUENESS OF SOLUTIONS FOR FOURTH-ORDER BOUNDARY-VALUE PROBLEMS IN BANACH SPACES

ON THE REPRESENTATION THEOREM BY THE LAPLACE TRANSFORMATION OF VECTOR-VALUED FUNCTIONS. ISAO MlYADERA. (Received February 18, 1956)

Weak and strong convergence theorems of modified SP-iterations for generalized asymptotically quasi-nonexpansive mappings

UNCERTAINTY FUNCTIONAL DIFFERENTIAL EQUATIONS FOR FINANCE

Comparison of Orlicz Lorentz Spaces

Existence of homoclinic solutions for Duffing type differential equation with deviating argument

Transcription:

KYBERNETIKA- VOLUME 21 (1985), NUMBER 1 RELATIVE CONTROLLABILITY OF NONLINEAR SYSTEMS WITH TIME VARYING DELAYS IN CONTROL K. BALACHANDRAN, D. SOMASUNDARAM Using the measure of noncompactness of a set and Darbo's fixed point theorem, sufficient conditions for relative controllability of nonlinear systems with time varying multiple delays in control and implicit derivative are established. The delays in [11] are of distributed in nature while here are time varying. 1. INTRODUCTION The problem of controllability of dynamical systems described by nonlinear ordinary differential equations has been investigated by many authors [i, 2, 7, 9, 10], with the help of Schauder's fixed point theorem. In particular Klamka [5, 6] has studied the controllability of nonlinear systems with different types of delay in control. In [3] Dacka introduced a new method of analysis based on the notion of measure of noncompactness of a set and Darbo's fixed point theorem for the study of the controllability of nonlinear systems with implicit derivative. This method is extended by Dacka [4] to perturbed nonlinear system with time varying delay in control and implicit derivative. In [11], sufficient conditions for controllability of nonlinear systems having implicit derivative with distributed delays in control have been derived. The purpose of this paper is to study the controllability of nonlinear systems with time varying multiple delays in control and implicit derivative by suitably adopting the technique of Dacka. The results generalise the results of Klamka [5] and Dacka [4]. 2. BASIC ASSUMPTIONS AND DEFINITIONS Consider the following nonlinear time varying systems with time varying multiple delays in the control, represented by the equation (1) x(t) = A(t, x(t)) x(t) + i Bit, x(t)) u(h t(t)) + f(t, x(t), x(t), u(t)) ; = o 65

where the state x(t) is an n-vector and the control u(t) is a p-vector, A(t, x) is an n x n matrix, B t(t, x) for I = 0,1,..., M are n x p matrices and f(t, x, x, u) is an n-vector function. Assume that the elements a jk of A (j, k = 1, 2,..., n) and b ijk of B L (j = 1, 2,......, n, k = 1, 2,..., p) for i = 0, 1,..., M are continuous functions and fulfill the following conditions (2) \a Jk(t, x)\ = N for te [f 0, f J and x e «" (3) fo, vt(r, x)[ g L ; for re[/ 0, rj and xefi" where N and L ; (i = 0, 1,..., M) are positive real constants. Furthermore, assume that the function f(t, x, y, u) is continuous and satisfies the conditions (4) \f(t, x, y, u)\ <, K for t e [r 0, tj, x, y e ff" and u e»" and for every j>, J? e «" and x e R", ue R p, t e [t 0, t J (5) /(t, x, y, «) - j(f, x, j;, w) <. fc y - y\ where K and k are positive real constants and 0 _ fc < 1. Assume that the functions h ;: [t 0, tj -* R, i = 0, 1,..., M are twice continuously differentiable and strictly increasing in [r 0. tj. Moreover (6) h ; (r) = r for re [r 0, tj, j = 0,1,..., M. Let us introduce the time-lead functions r ;(r): [h ;(r 0), h ;( fl)] - [to, tj, i - 0,1,... M such that rfhfc)) = t for t e [r 0, <J. Further assume that h 0(r) = t and for r = t u the function h,(r) satisfy the inequalities (7) h M( tl) = V.^/j) =... = /i m+1(fo = r 0 = h m( tl) < fe m_ 1(r 1) = = h^rj = ZioOO = t t Define the norm of a continuous n x p matrix valued function S(r) by S(r) = max t max \s u(t)\ i ;=i logigd where s u are elements of S. Let us define the Cartesian product as C,' + P[t 0, f J = = C^[r 0, tj x Cp[f 0, <J- For the measure p. of noncompactness of a set and Darbo's fixed point theorem and the common modulus of continuity w, w 0 see [3, 8, 11]. The following definitions of complete state of the system (1) at time t and relative controllability are assumed [5]. Definition 1. The set y(t) = {x(t), p(t, s)} where fi(t, s) = u(s) for s e [min h ;(r), t) is said to be the complete state of the system (1) at time t. 66

Definition 2. The system (1) is said to be globally relatively controllable on [f 0, (:] if for every complete state y(t 0) and every vector x x e R", there exists a control u(t) defined on [f 0, t{\ such that the corresponding trajectory of the system (1) satisfies *('i) = *i- Definition 3. The system (1) is said to be locally relatively controllable on [f 0, fj] in the domain D <= R", if for every complete state y(t 0), such that x(t 0) e D and every vector x te D <=: R", there exists a control u(t) defined on \t 0, f x] such that the corresponding trajectory of the system (1) satisfies x(f<) = x 1. For each [z, u] e C,j + p[/ 0, (J, we consider the following system (8) x(t) = A(t, z(t)) x(t) + I Bi(t, z(t)) u( hi(t)) + f(t, z(t), z(t), v(t)). ; = o The solution of the differential equation (8) with condition x(t 0) = x 0 can be expressed in the form (9) x(t) = F(t, t 0; z) x 0 + [ F(t, s; z) B^s, z) uqi^s)) ds + J to i = 0 + F(t,s;z)f(s,z,z,v)ds. where F(t, t 0; z) is the transition matrix of the linear system J to (10) *(*) = A(t, z(t)) x(t) with initial condition F(t 0, t 0; z) = /, the identity matrix. Using the time lead function r t(t), the formula (9) can be written as (11) x(t) = F(t,t 0;z) M ri<t(t) <o + l\ F(to, ris); z) B ;(r ;(s), z) ^(s) u(s) ds + i = 0 Jhi(to) + J F(( 0,s;z)/(s,z,z,i;)dsl. By (7), the equality (11) for t = t t can be expressed in the following form (12) x(tj = F( h, t 0; z) \x 0 + f I! F(t 0, ri(s); z) B^s), z) n(s) P(t 0, s) ds + L ( = 0j*i((o) M fwl,) + I F(t 0,r i(s);z)b i(r i(s),z)f i(s)si(t 0,s)ds + i = m+ljhi(to) m fti + 1 Kto, r,(s): z) B t( ri(s), z) r t(s) u(s) ds + i = 0 J to + ' F(t 0,s;z)f(s,z,z,v)ds}. 67

For brevity, let us introduce the following notations (13) G i(t 0,s;z) = if(t 0,rj(s);z)Bj(r j(s),z)fj(s) for. = 0,1,...,M f (14) (j(xto). x t; z, v) = F(t 0, t t; z) x t - x 0 - E(r 0, s; z) f(s, z, z, v) ds - - I f Hto, r,(s); z) B^s), z) r ((s) /i(/ 0, s) ds - > = oj;.,-(( 0) M fft.(fi) - I E(/ 0,/' f( S); z) B ;(r,<s), z) r ;(s)/?(/ 0, s) ds. l' = m+ 1 J/li(»o) Define the controllability matrix W(t 0, t t; z) by (15) W(t 0,.,; z) = [" G, (/ 0, s; z) G,' (/ 0, s; z) ds J (o where the prime indicates the matrix transpose. 3. MAIN RESULTS Theorem 1. Given the system (1) with conditions (2) to (7) and (16) inf det W(t 0,t t;z) > 0 then the system (1) is globally relatively controllable on [/ 0, f,]. Proof. For each fixed element [z, v] e Cl + p[t 0, t t], define the control u(t) for Ze [/ 0, /,] as follows (17) u(t) = G,' (/ 0, t; z) W~ '(/ 0, h; z) q(y(t 0), x t; z, v) where >'(/ 0) and x, are chosen arbitrarily. Inserting (17) into (11) we obtain the following equality x(t) = F(t, t 0; _) [x 0 + f E(/ 0, r t( S); z) 5 ;(r ;(s), z) r^s) /?(/, s) ds + L i = ojhi(la) (18) + P"" 1 E(/ 0, r ;(s); z) B f(r,(s), z) r,(s) /?(/ 0, s) ds + i = m+l J hi(fo) + f' E(/ 0, r.<5); z) E. ;(r,.(s), z) r,( s) G m(/ 0, s; z) IV" '(/ 0, f,; z) «(j<* 0). x x; z, 0) ds +. = oj< 0 + f E(/ 0, s; z) j(s, z, z,») dsl. By using (13) to (15) and (17), it is easy to see that x(f) in (18) satisfies the condition x(t t) = x\. Let us consider the right-hand sides of (17) and (18) as a pair of operators T 2([z, v]) (t) and T t([z, v]) (t), respectively. Define the nonlinear operator T by (19) T([z,v])(t)=[ Tl([z,v])(t),T 2([z,v])(t)]

It is easy to see that T is continuous and maps the space C) 1 + p[t 0, Zj] into itself. Consider the closed convex subset of C], + p[t 0, /J (20) H = {[z, vj. \\v\\ = N lt \\z\\ = N 2, \\Dz\\ = iv 3} where the positive constants N 1, N 2 and N 3 are defined by (21) -V, =[ x 1 exp(njv(/ 1-f 0)) + C 1]C 2 (22) Ci = x 0 + I (to - Ih(t 0)) npl,a tb exp (njv(r ;(/ 0) - / 0)) + i=0 Af + I ( ft i('i) - *i('o)) npl ta tb exp (niv(t. - / 0)) + K(t t - t 0) exp (nn(t t - / )) (23) ' a, = 1^)11, fc- j?(m (24) C 2 = sup W~ \t 0, tl; z)\\ f npl ;a ; exp (nv(/ t - / 0)) 26C» [.0..l] f = 0 (25) N 2 = exp (nn( tl - t 0)) [C. + (f, - t 0) C 3( xi exp (niv(f, - / 0) + C x). t npl ta t exp («%,.(/,) - r,{/ 0))] i = 0 (26) C 3 = sup W J (to, hi z)\\ t nplia, exp (njv(r t(d) - r t(t 0))) SEC 1 [t0,tl'i 1 = 0 Af (27) iv 3 = n 2 NN 2 + J L ;npjv, + K ; = o The mapping T transforms the set H defined by (20) into H. Let us note that all the functions of the form G' m(t 0, t; z) are equicontinuous if the functions z e C\[t 0, /i] are arbitrarily taken, but such that they satisfy the inequalities z = N 2, Z)z _ JV 3. By using the differentiability of r ;(/), the equicontinuity of the functions _ ;(r ;(/), z) follows from the equicontinuity of z e H and the equicontinuity of E(/ 0, r,(/); z) follows from the fact that all the functions z e H are uniformly bounded. Denote w(g' m, h) the common modulus of continuity of all functions G' m(t 0, t; z). Then we have (28) w(t 2([z, ]), h) = W(G;, J;) a where a = sup [ Jf -1 ( f a, tij z )\\ q{y(h), *il z, ")] [z;t>]eff From the relation (28) it follows that all functions T 2([z, vj) (t) have a uniformly bounded modulus of continuity, hence they are equicontinuous. Further the functions Ti([z, vj) (t) are also equicontinuous when [z, v] e H, since they have uniformly bounded derivatives. As in [11] the modulus of continuity of the function for /, s e [t 0, / t] can be made as (29) \D Tl([z, -]) (0 - D Tl([z, vj) (s)\ = k\z(t) - z(5) + /3( Z - S ) and so w(dt t([z, vj), h) _ kw(dz, h) + /5(J,), where j5 is a nonnegative function 69

such that lim /?(/.) = 0. Thus we have for any set E <=. H,»-»o + w 0(DT 1E) <I /<w 0(DE 1) and w 0(T 2E) = 0 where E t is the natural projection of the set E on the space C![? 0, t^. follows that fi(te) ^ k n(e). Hence it By Darbo's fixed point theorem the operator T has at least one fixed point, hence there exists functions z + e C,',[to> ti] an( v+ l e sucn cp[to> ti] that (30) 2 + (0=T 1([z +,P + ])(0 (31), + (0 = T 2 ([z +,, + ])(0 Differentiating with respect to t, we easily verify that x(t) given by (30) is a solution to the system (1) for the control u(i) given by (31). The control u(t) = v + (t) steers the system (l) the from initial complete state y(t 0) to x 1 e R", on \_t 0, f,], since y(t 0) and x ± have been chosen arbitrarily, then by Definition 2, the system (1) is globally relatively controllable on [t 0, rj. Remark 1. If we assume that the function f appearing in equation (i) satisfies also Lipschitz condition with respect to the variable x, then we can obtain the unique response determined by any control. Remark 2. The case for M = 1 and j is independent of u has been studied in [4]. The trivial case M = 0, A and B are independent of x has been considered in the paper [3]. Corollary 1. Given the system (1) with conditions as in Theorem 1, then the perturbed system M (32) x(t) = [A(t, x) + ea(t, xj] x + [E ;(t, x) + eb t(t, x)] u(h t(t)) + i = 0 + f(t, x, x, u) with A(t, x) and B {(t, x), i = 0,1,..., M satisfying the same type of conditions as imposed on A(t, x) and B t(t, x) is globally relatively controllable on [f 0, t{], provided E is sufficiently small. Proof. Here we have to show that the determinant of the modified controllability matrix W(t 0, t t; z, E) for the system (32) has a positive infimum. By similar argument as in [9], it is easy to show that by taking e small enough, there exists a constant c > 0 such that inf det W(t 0, t 1;z,s)^c zec'nlto.to Then by Theorem 1, the system is globally relatively controllable on [t 0, fj. Q 70

Example. x t(t) = g(t, xj, x 2) x 2(t) + Ul(t) + u t(t - h) + -^It^dD + sm i ii(f) i + xt(t) + x 2 2(t) X1(t) X2(t) = -g(t, XU X2) Xj(î) + t u2(t) + t u2(t - h) + 1 + x 2 2(t) where g(t, x u x 2) is a continuous function in its arguments. Observe that all the function are continuous and bounded. Moreover j satisfies Lipschitz condition with respect to the variable x with the constant k = - 2. For any fixed z e C\[t 0,?j] the state transition matrix F(t. t 0; z) has the following form '('.<-> = [->»] where a = cos J 0a(T, z u z 2) dt, b = sin J] 0fl(T, z u z 2) &z and the controllability matrix W(t 0, t{, z) is m...,:x). r'r«! + «<?'-; A > + Jf 0 L«J6 1 - ^2^2»1 + «2 J "fl 2 + s 2 /3 2 (1 - _(1 - s 2 ) ab b 2 + ;r> where a 2 = sa 1 + ah, b 2 = sb s + bh and a t = a + a, b x = b + b rs+h rs+i, a = cos g(t,z 1,z 2)dx, b = sin g(r, z t, z 2) dr. J to J fo If t t > t 0 + h, then the infimum of det W(t 0, t u z) is greater then zero. Thus from Theorem 1, the dynamical system in question is globally relatively controllable. 4. LOCAL CONTROLLABILITY RESULTS The technique used to prove Theorem 1 can also be applied to derive sufficient conditions for the local relative controllability on [/ 0, /j] of the dynamical system (l). Consider the following subset of [/ 0, fj] x «" x»" x K". (33) D = [(t, x, x, u): t e [t 0, r.], x g a, x ^ /i, \u\ ^ y, a, /?, y being some positive constants] Theorem 2. Given the system (1) with conditions (2) to (7) in D, we assume that the constants N, L t and K being bounds for the elements of the matrices A, B t and for the function f, and that the states y(t 0) and Xj are such that the constants N u N 2 71

and N3 from Theorem 1 satisfy the inequalities (34) Nx g y, N2 S a, N3 S P and further, (35) infdet W(t0, f,;z)>0. \'\ «Then the system (1) is locally relatively controllable on [f0, fj. Proof. The proof of Theorem 2 is similar to that of Theorem 1. It is enough to note that if the domain of the matrices A(t, x), Bt(t, x), i = 0, 1,..., M and the function/(f, x, x, u) is restricted to D, then the inequalities (34) imply that Hence the theorem. r.([z,*])(0 _5<-, Dr 1 ([~,i>])(*) ; ;3 \T 2 ([z,v])(t)\sy D Corollary 2. Given the system (1) with conditions as in Theorem 1, then the perturbed system (32) with A~(t, x) and Bt(t, x), i = 0,1,..., M satisfying the same type of conditions as imposed on A(t, x) and Bt(t,x), relatively controllable on [f0, fj provided e is sufficiently small. REFERENCES i = 0,1,... Af in D is locally (Received August 5, 1983.) [1] E. J. Davison and E. G. Kunze: Some sufficient conditions for the global and local controllability of nonlinear time varying systems. SIAM J. Control 8 (1970), 4, 489 497. [2] J. P. Dauer: Nonlinear perturbations of quasi-linear control systems. J. Math. Anal. Applic. 54(1976), 3,717-725. [3] C. Dacka: On the controllability of a class of nonlinear systems. IEEE Trans. Automat. Control AC-25 (1980), 2, 263-266. [4] C. Dacka: Relative controllability of perturbed nonlinear systems with delay in control. IEEE Trans. Automat. Control AC-27 (1982), 1, 268-270. [5] J. Klamka: Relative controllability of nonlinear systems with delays in control. Automatica 72(1976), 633-634. [6] J. Klamka: Controllability of nonlinear systems with distributed delays in control. Internat. J. Control 31 (1980), 5, 811-819. [7] K. B. Mirza and B. F. Womack: On the controllability of a class of nonlinear systems. IEEE Trans. Automat. Control AC-77 (1972), 4, 531-535. [8] B. J. Sadovskii: Limit-compact and condensing operators. Russian Math. Surveys 27 (1972), 1,85-156. [9] K. C. Wei: A class of controllable nonlinear systems. IEEE Trans. Automat. Control AC-21 (1976), 5, 787-789. [10] Y Yamamoto: Controllability of nonlinear systems. J. Optim. Theory Appl. 22 (1977), 1, 41-49. [11] K. Balachandran and D. Somasundaram: Controllability of a class of nonlinear systems with distributed delays in control. Kybernetika 20 (1983), 6, 475 482. K. Balachandran, D. Somasundaram, Department of Mathematics, Bharathiar University, Coimbatore 64! 046, Tamil Nadu. India. 72