Stability analysis for uncertain switched delayed complex-valued neural networks

被引：29
|
作者：
Gunasekaran, Nallappan [1 ]
Zhai, Guisheng [1 ]
机构：
[1] Shibaura Inst Technol, Dept Math Sci, Saitama 3378570, Japan
来源：
NEUROCOMPUTING | 2019年 / 367卷
关键词：
Complex-valued neural networks; Lyapunov method; Integral inequality; Linear matrix inequality; Stability; GLOBAL STABILITY; SYNCHRONIZATION; SYSTEMS;
D O I：
10.1016/j.neucom.2019.08.030
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The main concern of the paper is to address the stability of switched delayed complex-valued neural networks with uncertainties. Based on suitable Lyapunov-Krasovskii functional (LKF) and proposed lemma, the delay-dependent sufficient conditions are derived to guarantee the asymptotical stability of considered uncertain switched complex-valued neural networks. The derived sufficient conditions in terms of linear matrix inequalities are solved with the help of YALMIP toolbox in MATLAB. Two numerical examples are provided to ensure the effectiveness of the theoretical conditions. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页码：198 / 206
页数：9
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