4.7 Article

Exponential passivity of BAM neural networks with time-varying delays

Journal

APPLIED MATHEMATICS AND COMPUTATION
Volume 221, Issue -, Pages 727-740

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.amc.2013.06.069

Keywords

Exponential passivity; BAM neural networks; Linear matrix inequality; Lyapunov-Krasovskii; Time-varying delays

Funding

  1. National Basic Research Program of China [2010CB732501]
  2. National Natural Science Foundation of China [61273015]

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The problem of delay-dependent exponential passivity analysis is investigated for BAM neural networks with time-varying delays. By establishing a suitable augmented Lyapunov-Krasovskii function and a novel sufficient condition is obtained to guarantee the exponential stability of the considered system. The several exponential stability criterion proposed in this paper is simpler and effective. A numerical example is provided to demonstrate the feasibility and effectiveness of our results. (C) 2013 Elsevier Inc. All rights reserved.

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