location: Current position: Jie Lian >> Scientific Research >> Paper Publications

Exponential stability for switched Cohen-Grossberg neural networks with average dwell time

Hits:

Indexed by:期刊论文

Date of Publication:2011-02-01

Journal:NONLINEAR DYNAMICS

Included Journals:SCIE、EI

Volume:63

Issue:3

Page Number:331-343

ISSN No.:0924-090X

Key Words:Switched systems; Cohen-Grossberg neural networks; Average dwell time; Time-varying delays

Abstract:In this paper, uncertain switched Cohen-Grossberg neural networks with interval time-varying delay and distributed time-varying delay are proposed. Novel multiple Lyapunov functions are employed to investigate the stability of the switched neural networks under the switching rule with the average dwell time property. Sufficient conditions are obtained in terms of linear matrix inequalities (LMIs) which guarantee the exponential stability for the switched Cohen-Grossberg neural networks. Numerical examples are provided to illustrate the effectiveness of the proposed method.

Pre One:Local density one-class support vector machines for anomaly detection

Next One:Robust H filtering for a class of stochastic hybrid neutral time-delay systems with average dwell time