Dissipativity Analysis for a Class of Discrete-Time Neutral Stochastic Nonlinear Systems with Time Delay

被引：0
|
作者：
Yu, Shengchun [1 ,2 ]
Pang, Yanzhen [2 ]
Chen, Guici [1 ,2 ]
Zhou, Xin [2 ]
机构：
[1] Wuhan Univ Sci & Technol, Hubei Prov Key Lab Syst Sci Met Proc, Wuhan 430065, Peoples R China
[2] Wuhan Univ Sci & Technol, Coll Sci, Wuhan 430065, Peoples R China
来源：
DISCRETE DYNAMICS IN NATURE AND SOCIETY | 2021年 / 2021卷
基金：
中国国家自然科学基金;
关键词：
NEURAL-NETWORKS; STABILITY ANALYSIS;
D O I：
10.1155/2021/9932134
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
This paper focuses on the problem of dissipativity analysis for a class of discrete-time neutral stochastic nonlinear systems (DTNSNSs) with time delay and parameter uncertainties. Different from the existing results on this topic of neutral system, a kind of discretizing the neutral system is considered. Firstly, a sufficient condition of the dissipativity, which is dependent on the solution of the Lyapunov-Krasovskii technique and linear matrix inequalities (LMIs), is established. Moreover, the state-feedback controller is designed to guarantee the dissipative performance of the closed-loop system. The effectiveness of the theoretical results is finally demonstrated by a numerical example.
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页数：17
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