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Delay-dependent non-fragile robust dissipative filtering for uncertain nonlinear stochastic singular time-delay systems with Markovian jump parameters

机译:具有马尔可夫跳跃参数的不确定非线性随机奇异时滞系统的时滞相关非脆弱鲁棒耗散滤波

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The problem of delay-dependent non-fragile and robust dissipative filtering is investigated for a class of uncertain nonlinear stochastic singular time-delay It?-type systems with Markovian jump parameters. With the system uncertainty and the filter gain perturbations, the closed-loop filtering error system is robust asymptotically stable and satisfies the dissipation performance. By constructing a Lyapunov-Krasovskii function and applying the It? differential formula to compute the differential function along the system, a sufficient condition for the existence of a robust and non-fragile dissipative filter is derived in the form of linear matrix inequality (LMI). An illustrative numerical example is provided to demonstrate the effectiveness of the proposed approach.
机译:研究了一类具有马尔可夫跳跃参数的不确定非线性随机奇异时滞It?型系统的时滞相关非脆弱鲁棒耗散滤波问题。由于存在系统不确定性和滤波器增益扰动,因此闭环滤波误差系统具有渐近稳定的鲁棒性,并满足耗散性能。通过构造Lyapunov-Krasovskii函数并应用It?通过微分公式来计算系统的微分函数,以线性矩阵不等式(LMI)的形式得出了一个健壮且不脆弱的耗散滤波器存在的充分条件。提供了一个示例性的数值示例来证明所提出方法的有效性。

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