2012
DOI: 10.1007/s10957-012-9997-5
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Robust Exponential Stability of Stochastically Nonlinear Jump Systems with Mixed Time Delays

Abstract: In this paper, the problem of robust exponential stability is investigated for a class of stochastically nonlinear jump systems with mixed time delays. By applying the Lyapunov-Krasovskii functional and stochastic analysis theory as well as matrix inequality technique, some novel sufficient conditions are derived to ensure the exponential stability of the trivial solution in the mean square. Time delays proposed in this paper comprise both time-varying and distributed delays. Moreover, the derivatives of time-… Show more

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Cited by 32 publications
(22 citation statements)
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“…Combining with the results obtained in , another extension can be presented for nonlinear stochastic composite systems with singular perturbations. The main criterion can be considered in the stochastically nonlinear jump systems with time delays . The results are sufficient conditions, for which conservatism is inevitable.…”
Section: Conclusion and Final Remarksmentioning
confidence: 99%
“…Combining with the results obtained in , another extension can be presented for nonlinear stochastic composite systems with singular perturbations. The main criterion can be considered in the stochastically nonlinear jump systems with time delays . The results are sufficient conditions, for which conservatism is inevitable.…”
Section: Conclusion and Final Remarksmentioning
confidence: 99%
“…It is inspiring that many important results have been reported in the literature. For example, Zhu et al [10] investigated the problem of robust exponential stability for a class of stochastically nonlinear jump systems with mixed time delays. Zhu [11] investigated the th moment exponential stability for a class of impulsive stochastic functional differential equations with Markovian switching (SFDEwMs).…”
Section: Introductionmentioning
confidence: 99%
“…On the other hand, time delays, which commonly appear in practical systems, are often the cause of instability. Hence the stability of stochastic delay systems is always the hot area in many researches [10,17,18,20,21,22].…”
Section: Introductionmentioning
confidence: 99%