Proceedings of SOUTHEASTCON '96
DOI: 10.1109/secon.1996.510042
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Stability analysis of impulsive stochastic differential systems in terms of two measures

Abstract: Stability, involving two measures, of a class of impulsive stochastic systems is investigated. Sufficient conditions for stability are obtained using Lyapunov-like functions and differential inequalities.

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Cited by 3 publications
(8 citation statements)
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“…Our results are also regarded as the generalization and improvement of some known results, such as those in [20][21]. In [20], the authors established a comparison principle of existence and uniqueness and stability of solutions for stochastic impulsive systems.…”
Section: Introductionsupporting
confidence: 55%
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“…Our results are also regarded as the generalization and improvement of some known results, such as those in [20][21]. In [20], the authors established a comparison principle of existence and uniqueness and stability of solutions for stochastic impulsive systems.…”
Section: Introductionsupporting
confidence: 55%
“…Remark 1:The above problem is different from the previous results in [19][20][21], firstly, we study the more complex system model, i.e. SDIS with passion jump and Markov jump, which never haven't study it's stability via comparison approach.…”
mentioning
confidence: 92%
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“…In recent years, stochastic effect to the stability of impulsive differential systems (IDSs) and IFDSs has attracted great interest of many researchers. Consequently, several interesting results on impulsive stochastic differential systems (ISDSs) and impulsive stochastic functional differential systems (ISFDSs), including impulsive stochastic delay differential systems (ISDDSs), have been reported [9][10][11][12][13][14][15][16][17][18][19][20][21][22][23].…”
Section: Introductionmentioning
confidence: 99%
“…In particular, by employing Lyapunov-like function method and comparison principle, [10] obtained some sufficient conditions ensuring the existence, uniqueness and stability of solutions for ISDSs, and [11] investigated the stability in terms of two measures of ISDSs. Moreover, [12] and [13] applied comparison principle in chaos control.…”
Section: Introductionmentioning
confidence: 99%