Delay-dependent exponential stability analysis for discrete-time switched neural networks with time-varying delay

被引：60
作者：
Wu, Zheng-Guang [1 ]
Shi, Peng [2 ,3 ]
Su, Hongye [1 ]
Chu, Jian [1 ]
机构：
[1] Zhejiang Univ, Inst Cyber Syst & Control, Natl Lab Ind Control Technol, Hangzhou 310027, Zhejiang, Peoples R China
[2] Univ Glamorgan, Dept Comp & Math Sci, Pontypridd CF37 1DL, M Glam, Wales
[3] Victoria Univ, Sch Sci & Engn, Melbourne, Vic 8001, Australia
来源：
NEUROCOMPUTING | 2011年 / 74卷 / 10期
基金：
国家高技术研究发展计划(863计划); 英国工程与自然科学研究理事会;
关键词：
Switched neural networks; Time-varying delays; Exponential stability; Average dwell time; Linear matrix inequality (LMI); ROBUST STABILITY; ASYMPTOTIC STABILITY; MODEL-REDUCTION; SYSTEMS; CRITERIA;
D O I：
10.1016/j.neucom.2011.01.015
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we focus on the stability problem for discrete-time switched neural networks with time-varying delay resorting to the average dwell time method. In terms of linear matrix inequality approach, a delay-dependent sufficient condition of exponential stability is developed for a kind of switching signal with average dwell time. A numerical example is given to show the validness of the established result. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码：1626 / 1631
页数：6
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