Abstract

The purpose of this paper is to present the sufficient -exponential, uniform exponential, and global exponential stability conditions for nonlinear impulsive dynamic systems on time scales.

1. Introduction

In recent years, a significant progress has been made in the stability theory of impulsive systems [1, 2], and in [3] authors studied the -exponential stability for nonlinear impulsive differential equations. There are various types of stability of dynamic systems on time scales such as asymptotic stability [4, 5], exponential and uniform exponential stability [68], and -stability [9]. In the past decade, many authors studied impulsive dynamic systems on time scales [1014]. There are some papers on the theory of the stability of impulsive dynamic systems on time scales. In [15], stability criteria for impulsive systems are given and in [16], authors studied -uniform stability of linear impulsive dynamic systems.

In this paper, we consider the -exponential stability of the zero solution of the first-order nonlinear impulsive dynamic system where is a time scale which has at least finitely many right-dense points of impulsive , is a nonlinear function and rd continuous in , , and are fixed moments of impulsive effect. Let , , be rd continuous functions and let . Throughout the paper, we assume that , for all in the time scale interval , and call the zero function the trivial solution of (1) and we consider . Existence and uniqueness of solutions of (1) have been studied in [10].

In the following part we present some basic concepts about time scale calculus and we refer the reader to resource [17] for more detailed information on dynamic equations on time scales.

2. Preliminaries

A time scale is an arbitrary nonempty closed subset of the real numbers . For we define the forward jump operator by while the backward jump operator is defined by

If , we say that is right scattered, while if , we say that is left scattered. Also, if , then is called right dense, and if , then is called left dense. The graininess function is defined by

We introduce the set which is derived from the time scale as follows. If has a left-scattered maximum , then ; otherwise .

A function on is said to be delta differentiable at some point if there is a number such that for every there is a neighborhood of such that

The function is said to be regressive provided for all . The set of all regressive rd-continuous functions is denoted by .

Let and for all . The exponential function on , defined by is the solution to the initial value problem , . Properties of the exponential function on are given in [6].

In [6] authors defined the Lyapunov function on time scales, type I Lyapunov function as, and derivative of type I Lyapunov function as follows:

We start introducing notations that will be used in the following sections. In the Euclidean -space, norm of a vector is given by . The induced norm of an matrix is defined to be .

Now, we give definition of -exponential, -uniform exponential, -global exponential stability, and stability conditions for the solution of nonlinear impulsive dynamic system (1).

3. -Exponential Stability

Definition 1. The trivial solution to (1) is exponentially stable on if any solution of the system (1) satisfies for all , , where is a positive constant and is a nonnegative increasing function, . If the function is independent of , then the trivial solution to system (1) is said to be uniformly exponentially stable on .

Definition 2. The trivial solution to (1) is globally exponentially stable on if there exist some constants and such that any solution of (1), for all , , we have

Now, we shall present sufficient conditions for the -exponential stability, uniformly exponential stability, and globally exponentially stability of(1).

Theorem 3. Assume that contains the origin and there exists a type I Lyapunov function such that, for all and , , where , , and are positive functions, where is nondecreasing; , and are positive constants; is a nonnegative constant, and . Then the trivial solution to (1) is exponentially stable on .

Proof. Let be a solution to (1) that stays in for all . As ,   is well defined and positive. Thus . Consider Integrating both sides of above inequality from to with , we obtain, for , From condition Letting we get, By condition (11), we have And by the fact that , we obtain From (18) and (20) we obtain the result for all, , , By Definition 1 system (1) is exponentially stable.

If we consider as scaler function independent of , then we get a sufficient condition for uniformly exponential stability as stated below.

Theorem 4. In Theorem 3 if is a constant function independent of and , , are positive constants, then the trivial solution to system (1) is uniformly exponentially stable on .

Proof. The proof is similar to proof of Theorem 3 by taking and , hence omitted.

Theorem 5. Assume that contains the origin and there exists a type I Lyapunov function such that, for all and , , where is a constant function independent of . ,   are constants and . Then the trivial solution to (1) is uniformly exponentially stable on .

Proof. Let be a solution to (1) that stays in for all . Since , is well defined and positive. Now consider Integrating both sides of the above inequality from to , we obtain, for , This implies that From (26) and by invoking condition (22) we obtain, for all , , By Definition 1 system (1) is uniformly exponentially stable.

Theorem 6. Assume that contains the origin and there exists a type I Lyapunov function such that, for all and , , where , and are positive constants, , is a nonnegative constant, and . Then the trivial solution to (1) is globally exponentially stable on .

Proof. Let be a solution to (1) that stays in for all . Since , is well defined and positive. For all , , consider Integrating both sides of the above inequality from to , with , we obtain, This implies that From (32), and by invoking condition (28), we obtain, for all , , If we set , then (33) can be written as Since , by Definition 2 system (1) is globally exponentially stable.

4. Examples

Example 7. We consider Example (35) in [7] and extend the example by using impulse condition, where is a constant . If there is a constant such that for some constant and all , (35) is uniformly exponentially stable.
Under above assumptions, we will show that the conditions of Theorem 4 are satisfied. Let , choose and , , then (11) holds with , . If we calculate , for all , we have the following comparison: Dividing and multiplying the right-hand side by , we see that (12) holds under the above assumptions with and . Also, since , we have for all . Therefore (13) is satisfied. Hence, all hypotheses of Theorem 4 are satisfied and we conclude that the trivial solution to (35) is uniformly exponentially stable. We consider following two special cases of (35).

Case 1. If , then . It is easy to see that (37) holds for . Also for , condition (38) is satisfied. Hence, we conclude that if , then the trivial solution to (35) is uniformly exponentially stable.

Case 2. If , then . In this case rewriting (37) we have then (37) holds for . Also for , condition (38) is satisfied. Therefore for , then the trivial solution to (35) is uniformly exponentially stable.