A new sufficient conditions of stability for discrete time non-autonomous delayed Hopfield neural networks

نویسندگان

  • Adnene Arbi
  • Chaouki Aouiti
  • Abderrahmane Touati
چکیده

In this paper, we consider the uniform asymptotic stability, global asymptotic stability and global exponential stability of the equilibrium point of discrete Hopfield neural networks with delays. Some new stability criteria for system are derived by using the Lyapunov functional method and the linear matrix inequality approach, for estimating the upper bound of Lyapunov functional derivative. Keywords—Hopfield Neural Networks, Uniform asymptotic stability, Global asymptotic stability, Exponential stability.

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تاریخ انتشار 2012