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Synchronization of neutral complex dynamical networks with Markovian switching based on sampled-data controller

机译:基于采样数据控制器的马尔可夫切换的中立复杂动力网络同步

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The synchronization problem of a neutral complex dynamical network (NCDN) with distributed delay, Markovian jump parameters and partially unknown transition rates via sampled-data controller is investigated in this paper. The retarded, neutral and distributed delays are considered to be interval mode-dependent and time-varying, while the sampling period is assumed to be time-varying and bounded. By the interval dividing approach, a new augmented stochastic Lyapunov functional is constructed, which contains some triple-integral terms to reduce the conservativeness. Then the delay-range-dependent and rate-dependent exponential stability conditions for the closed-loop error system are obtained by the Lyapunov-Krasovskii stability theory, integral matrix inequalities and reciprocally convex lemma. Based on these new stability conditions, the sampled-data exponential synchronization controllers are found in terms of the solutions to linear matrix inequalities. Finally, numerical examples are given to demonstrate the feasibility and effectiveness of the proposed theoretic result.
机译:本文研究了一个具有分布时滞,马尔可夫跳跃参数和部分未知转换率的中性复杂动力网络(NCDN)通过采样数据控制器的同步问题。延迟,中性和分布式延迟被认为是间隔模式相关的并且随时间变化的,而采样周期被认为是随时间变化的并且是有界的。通过区间划分方法,构造了一个新的增广型随机Lyapunov函数,其中包含一些三重积分项以降低保守性。然后利用Lyapunov-Krasovskii稳定性理论,积分矩阵不等式和倒凸引理,获得了闭环误差系统的时滞相关性和速率相关的指数稳定性条件。基于这些新的稳定性条件,根据线性矩阵不等式的解找到了采样数据指数同步控制器。最后,通过数值算例证明了所提出理论结果的可行性和有效性。

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