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具有随机耦合时滞和执行器故障的复杂动力网络同步。

Synchronization of complex dynamical networks with random coupling delay and actuator faults.

机构信息

Department of Mathematics, Anna University-Regional Campus, Coimbatore 641046, Tamil Nadu, India.

Department of Applied Mathematics, Bharathiar University, Coimbatore 641046, Tamil Nadu, India.

出版信息

ISA Trans. 2019 Nov;94:57-69. doi: 10.1016/j.isatra.2019.03.029. Epub 2019 Apr 11.

Abstract

This paper addresses the issue of passivity-based synchronization problem for a family of Markovian jump neutral complex dynamical networks (NCDNs) with coupling delay and actuator faults. Also, by considering the effect of random fluctuation in complex dynamical network systems, the occurrence of coupling delay are taken in terms of a stochastic distribution, which obeys the Bernoulli distribution. To handle the fault effects in actuators of proposed complex network systems, an actuator fault model is considered. The main objective of this paper is to develop a robust state feedback controller such that for all possible actuator failures and random coupling delays, all nodes of the proposed Markovian jump NCDNs is globally asymptotically synchronized to the reference node in mean square sense and guarantee the output strict passivity performance. By developing a suitable Lyapunov-Krasovskii functional and utilizing the Wirtinger-based integral inequality, the required a set of sufficient conditions for the synchronization of proposed system is established in form of linear matrix inequalities. Finally, three numerical examples including a 3-dimensional Lorenz chaotic model are provided to demonstrate the correctness and superiority of the proposed control scheme.

摘要

本文针对一类具有耦合时滞和执行器故障的马尔可夫跳跃中立复动力网络(NCDN)的基于被动同步问题进行了研究。同时,考虑到复杂动力网络系统中随机波动的影响,将耦合时滞的发生表示为服从伯努利分布的随机分布。为了处理所提出的复杂网络系统中执行器的故障效应,考虑了一个执行器故障模型。本文的主要目标是设计一个鲁棒状态反馈控制器,使得对于所有可能的执行器故障和随机耦合时滞,所提出的马尔可夫跳跃 NCDN 的所有节点都可以在均方意义上全局渐近同步到参考节点,并保证输出严格的被动性能。通过开发合适的 Lyapunov-Krasovskii 泛函并利用基于 Wirtinger 的积分不等式,以线性矩阵不等式的形式建立了所提出系统同步的一组充分条件。最后,通过三个数值例子,包括一个 3 维 Lorenz 混沌模型,验证了所提出控制方案的正确性和优越性。

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