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Abstract and Applied Analysis
Volume 2013, Article ID 826426, 11 pages
Research Article

Delay-Dependent Dynamics of Switched Cohen-Grossberg Neural Networks with Mixed Delays

1College of Mathematics and Computing Science, Changsha University of Science and Technology, Changsha, Hunan 410114, China
2Hunan Provincial Center for Disease Control and Prevention, Changsha, Hunan 410005, China

Received 28 January 2013; Accepted 1 April 2013

Academic Editor: Zhichun Yang

Copyright © 2013 Peng Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This paper aims at studying the problem of the dynamics of switched Cohen-Grossberg neural networks with mixed delays by using Lyapunov functional method, average dwell time (ADT) method, and linear matrix inequalities (LMIs) technique. Some conditions on the uniformly ultimate boundedness, the existence of an attractors, the globally exponential stability of the switched Cohen-Grossberg neural networks are developed. Our results extend and complement some earlier publications.