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

Release Time:2019-03-09  Hits:

Indexed by: Journal Article

Date of Publication: 2011-02-01

Journal: NONLINEAR DYNAMICS

Included Journals: EI、SCIE

Volume: 63

Issue: 3

Page Number: 331-343

ISSN: 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.

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