pth Moment Exponential Synchronization of a Class of Chaotic Neural Networks with Mixed Delays

نویسندگان

  • Zixin Liu
  • Shu Lü
  • Shouming Zhong
  • Mao Ye
چکیده

This paper studies the pth moment exponential synchronization of a class of stochastic neural networks with mixed delays. Based on Lyapunov stability theory, by establishing a new integrodifferential inequality with mixed delays, several sufficient conditions have been derived to ensure the pth moment exponential stability for the error system. The criteria extend and improve some earlier results. One numerical example is presented to illustrate the validity of the main results. Keywords—pth Moment Exponential synchronization; Stochastic; Neural networks; Mixed time delays.

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تاریخ انتشار 2009