Exponential p−stability of impulsive stochastic fuzzy cellular neural networks with mixed delays

نویسندگان

  • QIANHONG ZHANG
  • LIHUI YANG
چکیده

This paper deals with an impulsive stochastic fuzzy cellular neural networks with both time-varying and infinite distributed delays. Based on M-matrix theory and stochastic analysis technique, a sufficient condition is obtained to ensure the existence, uniqueness, and global exponential p−stability of the equilibrium point for the addressed impulsive stochastic fuzzy cellular neural network with mixed delays. Moreover a numerical example is given to illustrate the effectiveness of stability results. Key–Words: Stochastic fuzzy cellular neural networks, Brownian motion, Global exponential p−stability, Mixed delays, Impulse

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تاریخ انتشار 2012