Exponential stability of fuzzy cellular neural networks with unbounded delay

  • Authors:
  • Tingwen Huang;Linhua Zhang

  • Affiliations:
  • Texas A&M University at Qatar, Doha, Qatar;Department of Computer and Engineering, Chongqing University, Chongqing, China

  • Venue:
  • ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I
  • Year:
  • 2005

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Abstract

In this paper, we investigate the exponential stability of fuzzy cellular networks with unbounded delay. An easily verified sufficient condition is obtained. Moreover, we get the exponential convergent rate for a broad class of the unbounded delayed fuzzy cellular networks.