2017
DOI: 10.1002/asjc.1692
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Exponential Stability and Delayed Impulsive Stabilization of Hybrid Impulsive Stochastic Functional Differential Systems

Abstract: This paper is concerned with the stability and impulsive stabilization of hybrid impulsive stochastic functional differential systems with delayed impulses. Using the Razumikhin techniques and Lyapunov functions, some sufficient conditions for the pth moment exponential stability of the systems under consideration are established. Based on the derived stability results, impulsive controllers are designed to stabilize a given unstable linear or nonlinear hybrid stochastic delayed differential system. Different … Show more

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Cited by 12 publications
(7 citation statements)
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“…In the past few decades, the theoretical significance and practical applications of the 2-D system has received extensive attention of scholars. Due to the increase of the dimension, there are profound and substantial differences between 2-D system and 1-D system [1][2][3][4][5][6]. Because of the intrinsic differences between them, and the widespread application background [7,8], the research of stability analysis and controller synthesis for 2-D time-delay systems, both in theory and in engineering practice, has great challenge.…”
Section: Introductionmentioning
confidence: 99%
“…In the past few decades, the theoretical significance and practical applications of the 2-D system has received extensive attention of scholars. Due to the increase of the dimension, there are profound and substantial differences between 2-D system and 1-D system [1][2][3][4][5][6]. Because of the intrinsic differences between them, and the widespread application background [7,8], the research of stability analysis and controller synthesis for 2-D time-delay systems, both in theory and in engineering practice, has great challenge.…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, stochastic functional differential systems (SFDSs) have been widely applied to many fields, such as economics, physics, neural networks, engineering and population biology since time delays are inevitable in real life and SFDSs provide a mathematical formulation for such practical models that include some past states. A large number of works are available for existence, uniqueness and stability analysis of SFDSs (see [1][2][3][4][5][6][7][8][9]).…”
Section: Introductionmentioning
confidence: 99%
“…In practical engineering, some nonlinear systems exhibit sudden changes at some instants, which are called nonlinear impulsive systems. Some interesting results on nonlinear impulsive systems can be found in Li et al [10]. By neural networks method, adaptive approximation‐based tracking control for a family of switched stochastic nonlinear pure‐feedback systems without lower triangular structure was addressed in Niu et al [11].…”
Section: Introductionmentioning
confidence: 99%