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Delay-dependent exponential stability of impulsive stochastic systems with time-varying delay

机译:具有时变时滞的脉冲随机系统的时滞相关指数稳定性

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摘要

The problem of delay-dependent exponential stability is investigated for impulsive stochastic systems with time-varying delay. Although the exponential stability of impulsive stochastic delay systems has been discussed by several authors, few works have been done on delay-dependent exponential stability of impulsive stochastic delay systems. Firstly, the Lyapunov-Krasovskii functional method combing the free-weighting matrix approach is applied to investigate this problem. Some delay-dependent mean square exponential stability criteria are derived in terms of linear matrix inequalities. In particular, the estimate of the exponential convergence rate is also provided, which depends on system parameters and impulsive effects. The obtained results show that the system will stable if the impulses' frequency and amplitude are suitably related to the increase or decrease of the continuous flows, and impulses may be used as controllers to stabilize the underlying stochastic system. Numerical examples are given to show the effectiveness of the results.
机译:研究了具有时变时滞的脉冲随机系统的时滞依赖指数稳定性问题。尽管几位作者已经讨论了脉冲随机时滞系统的指数稳定性,但是关于脉冲随机时滞系统的依赖于时延的指数稳定性的工作很少。首先,结合自由加权矩阵法的Lyapunov-Krasovskii泛函方法被用来研究这个问题。根据线性矩阵不等式推导了一些依赖于延迟的均方指数稳定性准则。特别地,还提供了指数收敛速率的估计,该估计取决于系统参数和脉冲效应。获得的结果表明,如果脉冲的频率和幅度与连续流量的增加或减少适当相关,则系统将稳定,并且可以将脉冲用作稳定基础随机系统的控制器。数值例子表明了结果的有效性。

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