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Abstract and Applied Analysis
Volume 2012 (2012), Article ID 623014, 12 pages
http://dx.doi.org/10.1155/2012/623014
Research Article

Mean Square Exponential Stability of Stochastic Switched System with Interval Time-Varying Delays

Faculty of Science, Maejo University, Chiangmai 50290, Thailand

Received 19 March 2012; Revised 5 May 2012; Accepted 9 May 2012

Academic Editor: Miroslava Růžičková

Copyright © 2012 Manlika Rajchakit and Grienggrai Rajchakit. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

This paper is concerned with mean square exponential stability of switched stochastic system with interval time-varying delays. The time delay is any continuous function belonging to a given interval, but not necessary to be differentiable. By constructing a suitable augmented Lyapunov-Krasovskii functional combined with Leibniz-Newton’s formula, a switching rule for the mean square exponential stability of switched stochastic system with interval time-varying delays and new delay-dependent sufficient conditions for the mean square exponential stability of the switched stochastic system are first established in terms of LMIs. Numerical example is given to show the effectiveness of the obtained result.

1. Introduction

Stability analysis of linear systems with time-varying delays is fundamental to many practical problems and has received considarable attention [111]. Most of the known results on this problem are derived assuming only that the time-varing delay is a continuously differentiable function, satisfying some boundedness condition on its derivative: . In delay-dependent stability criteria, the main concern is to enlarge the feasible region of stability criteria in given time-delay interval. Interval time-varying delay means that a time delay varies in an interval in which the lower bound is not restricted to be zero. By constructing a suitable augmented Lyapunov functionals and utilizing free weight matrices, some less conservative conditions for asymptotic stability are derived in [1221] for systems with time delay varying in an interval. However, the shortcoming of the method used in these works is that the delay function is assumed to be differential and its derivative is still bounded: . This paper gives the improved results for the mean square exponential stability of switched stochastic system with interval time-varying delay. The time delay is assumed to be a time-varying continuous function belonging to a given interval, but not necessary to be differentiable. Specifically, our goal is to develop a constructive way to design switching rule to the mean square exponential stability of switched stochastic system with interval time-varying delay. By constructing argumented Lyapunov functional combined with LMI technique, we propose new criteria for the mean square exponential stability of the switched stochastic system. The delay-dependent stability conditions are formulated in terms of LMIs.

The paper is organized as follows: Section 2 presents definitions and some well-known technical propositions needed for the proof of the main results. Delay-dependent mean square exponential stability conditions of the switched stochastic system and numerical example showing the effectiveness of proposed method are presented in Section 3.

2. Preliminaries

The following notations will be used in this paper. denotes the set of all real nonnegative numbers; denotes the -dimensional space with the scalar product and the vector norm ; denotes the space of all matrices of -dimensions; denotes the transpose of matrix ; is symmetric if ; denotes the identity matrix; denotes the set of all eigenvalues of ; ; denotes the set of all -valued continuous functions on ; matrix is called semipositive definite if , for all is positive definite if for all means . denotes the symmetric term in a matrix.

Consider a switched stochastic system with interval time-varying delay of the form where is the state; is the switching rule, which is a function depending on the state at each time and will be designed. A switching function is a rule which determines a switching sequence for a given switching system. Moreover, implies that the system realization is chosen as the th system, . It is seen that the system (2.1) can be viewed as an autonomous switched system in which the effective subsystem changes when the state hits predefined boundaries. are given constant matrices, and is the initial function with the norm .

is a scalar Wiener process (Brownian Motion) on with and : is the continuous function and is assumed to satisfy that where and are known constant scalars. For simplicity, we denote by , respectively.

The time-varying delay function satisfies The stability problem for switched stochastic system (2.1) is to construct a switching rule that makes the system exponentially stable.

Definition 2.1. Given , the switched stochastic system (2.1) is -exponentially stable in the mean square if there exists a switching rule such that every solution of the system satisfies the following condition: We end this section with the following technical well-known propositions, which will be used in the proof of the main results.

Proposition 2.2 (Cauchy inequality). For any symmetric positive definite marix and one has

Proposition 2.3 2.3 (see [22]). For any symmetric positive definite matrix , scalar and vector function such that the integrations concerned are well defined, the following inequality holds:

Proposition 2.4 (see [23]). Let , and be any constant matrices of appropriate dimensions and . For any , one has

Proposition 2.5 (Schur complement lemma [24]). Given constant matrices with appropriate dimensions satisfying . Then if and only if

3. Main Results

Let us set The main result of this paper is summarized in the following theorem.

Theorem 3.1. Given , the zero solution of the switched stochastic system (2.1) is -exponentially stable in the mean square if there exist symmetric positive definite matrices , and matrices satisfying the following conditions:(i).
The switching rule is chosen as . Moreover, the solution of the switched stochastic system satisfies

Proof. We consider the following Lyapunov-Krasovskii functional for the system (2.1): where It easy to check that Taking the derivative of Lyapunov-Krasovskii functional along the solution of system (2.1) and taking the mathematical expectation, we obtained Applying Proposition 2.3 and the Leibniz-Newton formula, we have Therefore, we have By using the following identity relation we have Adding all the zero items of (3.10) into (3.8), we obtain By assumption (2.2), we have Applying assumption (2.3), the following estimations hold: where Therefore, we finally obtain from (3.13) and the condition (i) that and hence Integrating both sides of (3.16) from to , we obtain Furthermore, taking condition (3.5) into account, we have then By Definition 2.1, the system (2.1) is exponentially stable in the mean square. The proof is complete.

To illustrate the obtained result, let us give the following numerical examples.

Example 3.2. Consider the following the switched stochastic systems with interval time-varying delay (2.1), where the delay function is given by It is worth noting that the delay function is nondifferentiable. Therefore, the methods used is in [215] are not applicable to this system. By LMI toolbox of MATLAB, by using LMI Toolbox in MATLAB, the LMI (i) is feasible with , and By Theorem 3.1 the switched stochastic systems (2.1) are -exponentially stable in the mean square and the switching rule is chosen as . Moreover, the solution of the system satisfies

4. Conclusions

In this paper, we have proposed new delay-dependent conditions for the mean square exponential stability of switched stochastic system with non-differentiable interval time-varying delay. By constructing a set of improved Lyapunov-Krasovskii functionals and Newton-Leibniz formula, the conditions for the exponential stability of the systems have been established in terms of LMIs.

Acknowledgments

This work was supported by the Thai Research Fund Grant, the Higher Education Commission and Faculty of Science, Maejo University, Thailand.

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