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STABILITY IN DISTRIBUTION OF NONLINEAR SYSTEMS WITH TIME-VARYING DELAYS AND SEMI-MARKOVIAN SWITCHING

Published online by Cambridge University Press:  01 July 2008

ZAIMING LIU
Affiliation:
Department of Mathematical Sciences, Central South University, Changsha, Hunan 410075, China (email: pengjunlrx@yahoo.com.cn)
JUN PENG*
Affiliation:
Department of Mathematical Sciences, Central South University, Changsha, Hunan 410075, China (email: pengjunlrx@yahoo.com.cn)
*
For correspondence; e-mail: pengjunlrx@yahoo.com.cn
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Abstract

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There has recently been considerable interest in the stability of stochastic differential equations with Markovian switching, and a number of results have been achieved. However, due to the exponential sojourn time of Markovian chain at each state, there are many restrictions on existing results for practical application. In this paper, we explore the problem of stability in distribution of nonlinear systems with time-varying delays and semi-Markov switching. Unlike existing models, the new model takes into account noise, time-varying delays and semi-Markov switching. By means of stochastic analysis, functional analysis and inequality techniques, sufficient conditions are obtained to guarantee the stability of the systems concerned. The proposed results are new and extend existing ones.

Type
Research Article
Copyright
Copyright © Australian Mathematical Society 2009

References

[1]Arnold, L., Stochastic differential equations: theory and applications (Wiley, New York, 1972).Google Scholar
[2]Basak, G. K., Bisi, A. and Ghosh, M. K, “Stability of a random diffusion with linear drift”, J. Math. Anal. Appl. 202 (1996) 604622.CrossRefGoogle Scholar
[3]Basin, M., Sanchez, E. and Martinez-Zuniga, R., “Optimal linear filtering for systems with multiple state and observation delays”, Int. J. Innov. Comput., Inform. Control 3 (2007) 13091320.Google Scholar
[4]Has’minskii, R. Z., Stochastic stability of differential equations (Sijthoff and Noordhoff, Amsterdam, 1981).Google Scholar
[5]Hou, Z., Luo, J. and Shi, P., “Stochastic stability of linear systems with semi-Markovian jump parameters”, ANZIAM J. 46 (2005) 331340.CrossRefGoogle Scholar
[6]Hu, L., Shi, P. and Huang, B., “Stochastic stability and robust control for sampled-data systems with Markovian jump parameters”, J. Math. Anal. Appl. 313 (2006) 504517.CrossRefGoogle Scholar
[7]Ikeda, N. and Watanable, S., Stochastic differential equations and diffusion processes (North-Holland, Amsterdam, 1981).Google Scholar
[8]Ji, Y. and Chizeck, H. J., “Controllability, stability and continuous time Markovian jump linear quadratic control”, IEEE Trans. Automat. Control 35 (1990) 777788.CrossRefGoogle Scholar
[9]Mahmoud, Magdi S., Shi, Y. and Nounou, Hazem N., “Resilient observer-based control of uncertain time-delay systems”, Int. J. Innov. Comput., Inform. Control 3 (2007) 407418.Google Scholar
[10]Mao, X., Exponential stability of stochastic differential equations (Marcel Dekker, New York, 1994).Google Scholar
[11]Mao, X., Stochastic differential equations and their applications (Horwood, Chichester, 1997).Google Scholar
[12]Mao, X., “Stability of stochastic differential equations with Markov switching”, Stochastic Proc. Appl. 79 (1999) 4567.CrossRefGoogle Scholar
[13]Mariton, M., Jump linear systems in automatic control (Marcel Dekker, New York, 1990).Google Scholar
[14]Morozan, T., “Stability and control for linear systems with jump Markov perturbations”, Stochastic Anal. Appl. 13 (1995) 91110.CrossRefGoogle Scholar
[15]Shi, P., Xia, Y., Liu, G. and Rees, D., “On designing of sliding mode control for stochastic jump systems”, IEEE Trans. Automat. Control 51 (2006) 97103.CrossRefGoogle Scholar
[16]Skorohod, A. V., Asymptotic methods in the theory of stochastic differential equations (American Mathematical Society, Providence, RI, 1989).Google Scholar
[17]Yuan, C., Zou, J. and Mao, X., “Stability in distribution of stochastic differential delay equations with Markovian switching”, Systems Control Lett. 50 (2003) 195207.CrossRefGoogle Scholar