Practical stabilization of multi-links highly nonlinear Takagi-Sugeno fuzzy complex networks with Lévy noise based on aperiodically intermittent discrete-time observation control

被引：2

作者：

Chen, Tianrui ^{[1
,2
]}

Fan, Zezhou ^{[1
]}

Wang, Wenhua ^{[1
]}

Li, Wenxue ^{[1
]}

机构：

[1] Harbin Inst Technol Weihai, Dept Math, Weihai 264209, Peoples R China

[2] Yeungnam Univ, Dept Elect Engn, Kyonsan 38541, South Korea

来源：

APPLIED MATHEMATICS AND COMPUTATION | 2024年 / 476卷

关键词：

Highly nonlinear; Takagi-Sugeno fuzzy model; L & eacute; vy noise; Aperiodically intermittent control; Discrete-time observation control; LEVY NOISE; SYSTEMS; STABILITY; SYNCHRONIZATION;

D O I：

10.1016/j.amc.2024.128748

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

This paper investigates practical stabilization of multi -links highly nonlinear Takagi-Sugeno fuzzy complex networks with L & eacute;vy noise (MHFNLs) via aperiodically intermittent discrete -time observation control (AIDOC). It is worth pointing out that AIDOC is considered into MHFNLs for the first time. Due to the difficulty of satisfying linear conditions in real life, polynomial growth conditions are used instead of linear growth conditions. Meanwhile, a global Lyapunov function is constructed and sufficient conditions which can remain MHFNLs practically stable are gained. Finally, an application and its numerical simulations are presented to verify the effectiveness and availability of the theoretical results.

引用

页数：18

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