Non-fragile State Estimation for Discrete-Time Complex Networks with Randomly Occurring Time-Varying Delays

被引：0

作者：

Zhang, Sunjie ^{[1
]}

Mao, Jingyang ^{[1
]}

Ding, Derui ^{[1
]}

Yan, Le ^{[1
]}

机构：

[1] Univ Shanghai Sci & Technol, Sch Opt Elect & Comp Engn, Shanghai 200093, Peoples R China

来源：

PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017) | 2017年

基金：

中国国家自然科学基金; 中国博士后科学基金;

关键词：

Complex networks; non-fragile state estimation; randomly occurring gain variations; SYSTEMS; SYNCHRONIZATION; INFORMATION;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, the non-fragile state estimation problem is investigated for a class of discrete time-delay nonlinear complex networks with randomly occurring gain variations. Two sequences of random variables obeying the Bernoulli distribution are employed to describe the phenomena of randomly occurring time-varying delays and randomly occurring gain variations. Through stochastic analysis and Lyapunov functional approach, sufficient conditions are derived such that the addressed state estimation system ensures the exponential mean-square stability. Finally, a simulation example is provided to show the usefulness and effectiveness of the proposed state estimation conditions in this paper.

引用

页码：3954 / 3959

页数：6

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