Delay-Dependent Stability Analysis for Switched Neural Networks With Time-Varying Delay

Author

Wu, Zheng-Guang ; Shi, Peng ; Su, Hongye ; Chu, Jian

Author_Institution

Nat. Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou, China

Volume

41

Issue

6

fYear

2011

Firstpage

1522

Lastpage

1530

Abstract

In this paper, the problem of stability analysis is investigated for switched neural networks with time-varying delay using linear matrix inequality (LMI) approach. By taking advantage of the average dwell time method, two sufficient conditions are developed to ensure the global exponential stability of the considered neural networks, which are delay-dependent and formulated by LMIs. The state decay estimate is explicitly given. Numerical examples are provided to demonstrate the effectiveness and feasibility of the proposed techniques.

Keywords

asymptotic stability; delays; linear matrix inequalities; neural nets; time-varying systems; LMI; average dwell time method; delay-dependent stability analysis; global exponential stability; linear matrix inequality; switched neural networks; time-varying delay; Artificial neural networks; Linear matrix inequalities; Stability criteria; Switched systems; Symmetric matrices; Time varying systems; Exponential stability; linear matrix inequality (LMI); neural networks; switched systems; time-varying delay;

fLanguage

English

Journal_Title

Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on

Publisher

ieee

ISSN

1083-4419

Type

jour

DOI

10.1109/TSMCB.2011.2157140

Filename

5872072