The Scientific World Journal

Volume 2014 (2014), Article ID 932395, 8 pages

http://dx.doi.org/10.1155/2014/932395

Research Article

Stability Analysis of Impulsive Control Systems with Finite and Infinite Delays

Xuling Wang,¹ Xiaodi Li,¹ and Gani Tr. Stamov²

¹School of Mathematical Sciences, Shandong Normal University, Ji’nan 250014, China

²Department of Mathematics, Technical University of Sofia, 8800 Sliven, Bulgaria

Received 1 August 2013; Accepted 2 December 2013; Published 27 February 2014

Academic Editors: A. Favini and O. Kwon

Copyright © 2014 Xuling Wang et al. 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 studies impulsive control systems with finite and infinite delays. Several stability criteria are established by employing the largest and smallest eigenvalue of matrix. Our sufficient conditions are less restrictive than the ones in the earlier literature. Moreover, it is shown that by using impulsive control, the delay systems can be stabilized even if it contains no stable matrix. Finally, some numerical examples are discussed to illustrate the theoretical results.

1. Introduction

As is known, a well-developed theory of impulsive control systems has come into existence (see [1–8] and the references therein). To our knowledge, such systems are now recognized as an excellent source of models to simulate processes and phenomena observed in control fields, such as orbital transfer of satellite [5, 7], dosage supply in pharmacokinetics [9], stabilization, and synchronization in chaotic secure communication systems and other chaos systems [10, 11]. Moreover, in some cases, continuous control is impossible and only impulsive control can be used. For example, a central bank cannot change its interest rate every day in order to regulate the money supply in a financial market.

On the other hand, time delay [12–20] occurs in many physical systems. So it is natural to study impulsive control systems with delays. Also, significant progress has been made in the theory of impulsive control systems with finite or infinite delays. Yang and Xu [21] have presented several interesting criteria on robust stability of uncertain impulsive control systems with time-varying delay by employing a formula for the variation of parameters and estimating the Cauchy matrix. Liu [22] has established several criteria on asymptotic stability of impulsive control systems with time delay by using the method of Lyapunov functions and Lyapunov functionals. By using the Razumikhin technique and Lyapunov functions, a new criterion on the uniform asymptotic stability and global stability of impulsive infinite delay differential systems has been obtained in [23]. However, to the best of our knowledge, there is no criterion on stability for impulsive control systems with delays by employing the largest and smallest eigenvalue of matrix. Hence, techniques and methods for impulsive control systems should be further developed and explored. The aim of this paper is to establish stability criteria for impulsive control systems with finite and infinite delays by employing the largest and smallest eigenvalue matrix.

Inspired by the idea in [22] dealing with impulsive control systems, some stability criteria are established. The rest of this paper is organized as follows. In Section 2, we introduce some notations and definitions. Then in Section 3, several stability criteria of impulsive control systems with finite and infinite delays by employing the largest and smallest eigenvalue of matrix are obtained. Finally, in Section 4, the advantages of the theoretical results are illustrated by two numerical examples.

2. Preliminaries

Let denote the set of real numbers, the set of nonnegative real numbers, the -dimensional real space, and . The impulse times satisfy . For any , let , where is a Volterra type functional. In this case, when , the interval is understood to be replaced by .

Consider the delay control system

where is the state variable, is the output variable, is a delay constant, and are known constant matrices, , and .

An impulsive control law of (1) can be presented in the form of the following control sequence (refer the reader to [22]):

Let , , and . Then we obtain the impulsive control system with finite delays as follows:

where is continuous.

Furthermore, we can investigate the following impulsive control system with infinite delays:

where is continuous and .

For any matrix , denotes the largest eigenvalue of and similarly denotes the smallest eigenvalue of . The norm of matrix is . For a positive definite (symmetric) matrix , denotes the square root of , which is defined to be the unique positive definite matrix satisfying (see [24]).

Let us define the following class of functions for later use:

In order to prove our main results, we need the following definitions and lemmas.

Definition 1 (see [22]). A matrix is stable (or Hurwitz) if the eigenvalues of the matrix all have negative real parts and there is a unique positive definite matrix that solves the Lyapunov equation

where is any positive definite matrix.

Definition 2 (see [22]). A matrix is unstable if the eigenvalues of the matrix all have positive real parts and there is a unique positive definite matrix that solves the Lyapunov equation

where is any positive definite matrix.

Definition 3 (see [23]). Assume that is the solution of (3) and (4) through . Then the trivial solution of (3) and (4) is said to be

stable, if for any and there exists some such that implies , ;uniformly stable, if the in is independent of ;uniformly asymptotically stable, if holds and there exists some such that for any there exists some such that and together imply , .

Lemma 4 (see [25]). Assume that there exist functions , , and , where for . Suppose further that is continuous on and on for exists. Moreover, , restricted to , is locally Lipschitz in and the following conditions are satisfied:

(i) for all ;(ii) for all in and , whenever for ;(iii) for all for which ;(iv),  , and .

Then the trivial solution of (3) is uniformly asymptotically stable.

Lemma 5 (see [25]). Assume that there exist functions ,  , and and is continuous on and on for exists. Moreover, , restricted to , is locally Lipschitz in and the following conditions are satisfied:

(i) for all ;(ii) for all in and , whenever for ;(iii) for all for which ;(iv), , and .

Then the trivial solution of (3) is uniformly asymptotically stable.

Lemma 6 (see [26]). Assume that there exist functions ,  , and and is continuous on and on for exists. Moreover, , restricted to , is locally Lipschitz in and the following conditions are satisfied:

(i) for all ;(ii) for any solution of (4), whenever for ;(iii) for all and all ;(iv) and .

Then the trivial solution of (4) is uniformly stable.

3. Main Results

In this section, we will establish some stability criteria for system (3) and (4). Our first theorem provides conditions for uniform asymptotic stability of the trivial solution of (3), when matrix is Hurwitz.

Theorem 7. Let and assume all the eigenvalues of have negative real parts. Suppose that there exist a constant and two symmetrical positive definite matrices such that

where . Then the trivial solution of (3) is uniformly asymptotically stable.

Proof. Define the Lyapunov function

Then, satisfies

for all . Furthermore,

Since satisfies the strict inequality (8), then both equalities are satisfied by any chosen sufficiently close to . So let satisfy

Define and . Then, when , , so we have and . Calculating the derivative of along solutions of (3) gives us

Let and be given by

Then we have , by equality (13) on . Thus, by Lemma 4, it follows that the trivial solution of (3) is uniformly asymptotically stable.

Our next theorem establishes conditions for uniform asymptotic stability of trivial solution of (3) when matrix is unstable.

Theorem 8. Let and assume all the eigenvalues of have positive real parts. Suppose that there exist a constant and two symmetrical positive definite matrices such that

where . Then the trivial solution of (3) is uniformly asymptotically stable.

Proof. Define the Lyapunov function

Then, satisfies

for all . Furthermore,

Define . Then if , for , we have and . Calculating the derivative of along solutions of (3) gives us

Let and be given by

Then, we have , by inequality (16) on . Thus, by Lemma 5, it follows that the trivial solution of (3) is uniformly asymptotically stable.

Remark 9. Note that in Theorems 7 and 8, the criteria require the assumption that the time delay is finite, and so they may not be user-friendly in applications. Therefore, it is necessary to investigate the stability of impulsive control systems with infinite delays.

Theorem 10. Let and assume that all the eigenvalues of have positive real parts. Suppose that there exist a constant and two symmetrical positive definite matrices such that

where . Then the trivial solution of (4) is uniformly stable.

Proof. Define the Lyapunov function

Then, satisfies

for all . Furthermore,

Define . Then if , for , we have and . Calculating the derivative of along solutions of (3) gives us

Let and be given by

Then, we have , by inequality (22) on . Thus, by Lemma 6, it follows that the trivial solution of (4) is uniformly stable.

Remark 11. In this paper, a new technique is offered to establish the stability criteria for finite and infinite delay impulsive control systems. In the above theories, rather than employing Razumikhin techniques and Lyapunov functions, we adopt the largest and smallest eigenvalue so that not only can they be easier constructed, but also the conditions ensuring the required stability are less restrictive. Furthermore, in Theorem 10, the obtained stability criterion is for impulsive control systems with both finite and infinite delays. Therefore, the result is rather general and has great power in applications.

4. Applications

Example 1. Consider the following impulsive control systems:

where ,   and with the following parameter matrices:

Property 1. The trivial solution of the system (28) is uniformly stable if there exists constant such that

Proof. Obviously,

Choose a symmetric positive definite matrix as follows:

We directly calculate the following parameters:

where . So by (30), it can be deduced that

Suppose in addition that the impulsive times occur with a frequency of . Also, a simple check shows that both of these conditions are satisfied by choosing . Therefore, uniformly stable of the trivial solution of (28) can be obtained by Theorem 10.

Example 2. Consider the impulsive control systems (28) where , and with the following parameter matrices:

Property 2. The trivial solution of the system (28) is uniformly stable if there exists constant such that

Proof. Obviously,

Choose a symmetric positive definite matrix as follows:

We directly calculate the following parameters:

where . So by (36), it can be deduced that

Suppose in addition that the impulsive times occur with a frequency of . Also, a simple check shows that both of these conditions are satisfied by choosing . Therefore, robust exponential stability of the trivial solution of (28) can be obtained by Theorem 10.

Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.

Acknowledgments

This work was jointly supported by the Project of Shandong Province Higher Educational Science and Technology Program (J12LI04), Research Fund for Excellent Young and Middle-aged Scientists of Shandong Province (BS2012DX039), and National Natural Science Foundation of China (11226136, 11301308).

References

A. Bensoussan and C. S. Tapiero, “Impulsive control in management: prospects and applications,” Journal of Optimization Theory and Applications, vol. 37, no. 4, pp. 419–442, 1982.

S. Leela, F. A. Mcrae, and S. Sivasundaram, “Controllability of impulsive differential equations,” Journal of Mathematical Analysis and Applications, vol. 177, no. 1, pp. 24–30, 1993.

X. Li and M. Bohner, “An impulsive delay differential inequality and applications,” Computers & Mathematics with Applications, vol. 64, no. 6, pp. 1875–1881, 2012.

X. Liu and K. Rohlf, “Impulsive control of a Lotka-Volterra system,” IMA Journal of Mathematical Control and Information, vol. 15, no. 3, pp. 269–284, 1998.

X. Liu and A. R. Willms, “Impulsive controllability of linear dynamical systems with applications to maneuvers of spacecraft,” Mathematical Problems in Engineering, vol. 2, no. 4, pp. 277–299, 1996.

Y. Liu, K. L. Teo, L. S. Jennings, and S. Wang, “On a class of optimal control problems with state jumps,” Journal of Optimization Theory and Applications, vol. 98, no. 1, pp. 65–82, 1998.

J. E. Prussing, L. J. Wellnitz, and W. G. Heckathorn, “Optimal impulsive time-fixed direct-ascent interception,” Journal of Guidance, Control, and Dynamics, vol. 12, no. 4, pp. 487–494, 1989.

T. Yang, “Impulsive control,” IEEE Transactions on Automatic Control, vol. 44, no. 5, pp. 1081–1083, 1999.

V. Lakshmikantham, D. D. Bainov, and P. S. Simeonov, Theory of Impulsive Differential Equations, World Scientific, Singapore, 1989.

A. Khadra, X. Liu, and X. Shen, “Application of impulsive synchronization to communication security,” IEEE Transactions on Circuits and Systems I, vol. 50, no. 3, pp. 341–351, 2003.

J. Sun, “Impulsive control of a new chaotic system,” Mathematics and Computers in Simulation, vol. 64, no. 6, pp. 669–677, 2004.

A. R. Teel, “Global stabilization and restricted tracking for multiple integrators with bounded controls,” Systems and Control Letters, vol. 18, no. 3, pp. 165–171, 1992.

S. I. Niculescu, Delay Effects on Stability: A Robust Control Approach, Springer, New York, NY, USA, 2001.

D.-Y. Xu, “Robust stability analysis of uncertain neutral delay-differential systems via difference inequality,” Control, Theory and Advanced Technology, vol. 5, no. 3, pp. 301–313, 1989.

D. Y. Xu, “Robust stability of neutral delay differential systems,” Automatica, vol. 30, no. 4, pp. 703–706, 1994.

D. Q. Cao, P. He, and K. Zhang, “Exponential stability criteria of uncertain systems with multiple time delays,” Journal of Mathematical Analysis and Applications, vol. 283, no. 2, pp. 362–374, 2003.

X. L. Fu, X. L. Wang, H. Akca, and X. D. Li, “Uniform stability in terms of two measures for impulsive functional differential equations with infinite delays,” Universal Journal of Mathematics and Mathematical Sciences, vol. 2, pp. 119–135, 2012.

X. Li, “Global robust stability for stochastic interval neural networks with continuously distributed delays of neutral type,” Applied Mathematics and Computation, vol. 215, no. 12, pp. 4370–4384, 2010.

X. Li, “New results on global exponential stabilization of impulsive functional differential equations with infinite delays or finite delays,” Nonlinear Analysis: Real World Applications, vol. 11, no. 5, pp. 4194–4201, 2010.

X. Fu and X. Li, “Razumikhin-type theorems on exponential stability of impulsive infinite delay differential systems,” Journal of Computational and Applied Mathematics, vol. 224, no. 1, pp. 1–10, 2009.

Z. Yang and D. Xu, “Robust stability of uncertain impulsive control systems with time-varying delay,” Computers & Mathematics with Applications, vol. 19, pp. 1100–1106, 2006.

X. Liu, “Stability of impulsive control systems with time delay,” Mathematical and Computer Modelling, vol. 39, no. 4-5, pp. 511–519, 2004.

X. Li, “Uniform asymptotic stability and global stability of impulsive infinite delay differential equations,” Nonlinear Analysis: Theory, Methods & Applications, vol. 70, no. 5, pp. 1975–1983, 2009.

R. A. Horn and C. R. Johnson, Matrix Analysis, Cambridge University Press, Cambridge, Mass, USA, 1985.

X. Liu and G. Ballinger, “Uniform asymptotic stability of impulsive delay differential equations,” Computers & Mathematics with Applications, vol. 41, no. 7-8, pp. 903–915, 2001.

Z. Luo and J. Shen, “Impulsive stabilization of functional differential equations with infinite delays,” Applied Mathematics Letters, vol. 16, no. 5, pp. 695–701, 2003.