Global Exponential Stability of Impulsive Fuzzy Cellular Neural Networks with Delays and Reaction-Diffusion Terms

  • Authors:

  • Xiaobo Li;Haijun Jiang

  • Affiliations:

  • College of Mathematics and System Sciences, Xinjiang University, Urumqi, P. R. China 830046 and Normal College, Shihezi University, Shihezi, China 832000;College of Mathematics and System Sciences, Xinjiang University, Urumqi, P. R. China 830046

  • Venue:
  • ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks
  • Year:
  • 2009

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Abstract

In this paper, we investigate a class of impulsive fuzzy cellular neural networks with delays and reaction-diffusion terms. By applying Lyapunov functional method and using inequality techniques, some sufficient conditions ensuring the global exponential stability of equilibrium point for impulsive fuzzy cellular neural networks with delays and reaction-diffusion terms are established. An illustrative example is given in the end to guarantee the validity of our theory.