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$H_{\infty }$ State Estimation for Coupled Stochastic Complex Networks With Periodical Communication Protocol and Intermittent Nonlinearity Switching
IEEE Transactions on Network Science and Engineering ( IF 6.6 ) Pub Date : 2021-02-09 , DOI: 10.1109/tnse.2021.3058220
Yuqiang Luo , Zidong Wang , Yun Chen , Xiaojian Yi

In this paper, an $H_{\infty }$ estimation approach is given for an array of coupled stochastic complex networks with intermittent nonlinearity switching. A set of binary random variables are adopted to characterize the intermittent switching behavior of the involved nonlinearities. To effectively alleviate data collisions and save energy, the Round-Robin protocol is utilized to curb network congestions in data communication. For the coupled stochastic complex networks, we design a protocol-based $H_{\infty}$ estimator that not only resists stochastic disturbances, but also ensures the exponential mean square stability of the desired error system under a given disturbance attenuation level. With the help of the Lyapunov stability and convex optimization theories, sufficient conditions are provided for the expected estimator. Simulations are provided to illustrate the reasonability of our $H_{\infty }$ approach.

中文翻译:

$H_{\infty }$ 具有周期性通信协议和间歇非线性切换的耦合随机复杂网络的状态估计

在本文中,一个 $H_{\infty }$给出了具有间歇非线性切换的耦合随机复杂网络阵列的估计方法。采用一组二元随机变量来表征所涉及非线性的间歇切换行为。为有效缓解数据冲突并节约能源,Round-Robin 协议被用于抑制数据通信中的网络拥塞。对于耦合随机复杂网络,我们设计了一个基于协议的$H_{\infty}$估计器不仅可以抵抗随机扰动,而且还可以确保在给定的扰动衰减水平下所需误差系统的指数均方稳定性。借助李雅普诺夫稳定性和凸优化理论,为期望估计量提供了充分条件。提供了模拟来说明我们的合理性$H_{\infty }$ 方法。
更新日期:2021-02-09
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