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Nonlinear Dynamics

, Volume 63, Issue 3, pp 331–343 | Cite as

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

  • Jie Lian
  • Kai Zhang
Original Paper

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.

Keywords

Switched systems Cohen–Grossberg neural networks Average dwell time Time-varying delays 

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Copyright information

© Springer Science+Business Media B.V. 2010

Authors and Affiliations

  1. 1.Faculty of Electronic Information and Electrical EngineeringDalian University of TechnologyDalianP.R. China

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