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基于采样数据控制的具有混合时滞和随机干扰的复杂动态网络的非脆弱同步

Non-fragile synchronization of complex dynamical networks with hybrid delays and stochastic disturbance via sampled-data control.

作者信息

Dong Qian, Shi Shengli, Ma Yuechao

机构信息

School of Science, Yanshan University, Qinhuangdao Hebei, 066004, PR China.

School of Science, Yanshan University, Qinhuangdao Hebei, 066004, PR China.

出版信息

ISA Trans. 2020 Oct;105:174-189. doi: 10.1016/j.isatra.2020.05.047. Epub 2020 Jun 1.

Abstract

This paper focuses on the global synchronization issue for a class of the complex dynamical networks (CDNs) with hybrid delays and stochastic disturbance. The hybrid delays consider two forms: discrete-time coupling delays and distributed coupling delays. The non-fragile sampled-data control protocol, which is allowed to norm-bounded uncertainty, is considered for the first time in this paper. Next, by applying a new augmented Lyapunov-Krasovskii functional (LKF), with the aid of the convex combination method and the stochastic analysis technique, a less conservative condition is derived to ensure that the considered CDNs can achieve the global synchronization with hybrid delays and stochastic disturbance under a non-fragile sampled-data control strategy. Finally, there exists three simulation examples to verify the effectiveness and advantages of the analytical results.

摘要

本文聚焦于一类具有混合时滞和随机扰动的复杂动态网络(CDNs)的全局同步问题。混合时滞考虑两种形式:离散时间耦合时滞和分布耦合时滞。本文首次考虑了允许范数有界不确定性的非脆弱采样数据控制协议。接下来,通过应用一种新的增广Lyapunov-Krasovskii泛函(LKF),借助凸组合方法和随机分析技术,推导出一个保守性较小的条件,以确保所考虑的CDNs在非脆弱采样数据控制策略下能够实现具有混合时滞和随机扰动的全局同步。最后,给出三个仿真例子来验证分析结果的有效性和优势。

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