Mean square exponential stability of impulsive stochastic fuzzy cellular neural networks with distributed delays

  • Authors:
  • Liping Chen;Ranchao Wu;Donghui Pan

  • Affiliations:
  • School of Mathematics, Anhui University, Hefei 230039, China;School of Mathematics, Anhui University, Hefei 230039, China;School of Mathematics, Anhui University, Hefei 230039, China

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2011

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Abstract

The mean square exponential stability of a class of impulsive stochastic fuzzy cellular neural networks with distributed delays is investigated in this paper. By using analytic methods such as Lyapunov functional, Ito@?'s formula, inequality techniques, the sufficient conditions guaranteeing the mean square exponential stability of its equilibrium solution are obtained. For illustration, an example is given to show the feasibility of results.