Stability Criteria for Uncertainty Markovian Jumping Parameters of BAM Neural Networks with Leakage and Discrete Delays

نویسندگان

  • Qingqing Wang
  • Baocheng Chen
  • Shouming Zhong
چکیده

In this paper, the problem of stability criteria for Markovian jumping BAM neural networks with leakage and discrete delays has been investigated. Some new sufficient condition are derived based on a novel Lyapunov-Krasovskii functional approach. These new criteria based on delay partitioning idea are proved to be less conservative because free-weighting matrices method and a convex optimization approach are considered. Finally, one numerical example is given to illustrate the the usefulness and feasibility of the proposed main results. Keywords—Stability, Markovian jumping neural networks, Timevarying delays, Linear matrix inequality.

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تاریخ انتشار 2014