Adaptive synchronization of stochastic neural networks with mixed time-varying delays and Markovian switching
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    Abstract:

    By using the Lyapunov function,the invariant principle of functional differential equation and stochastic analysis theory,as well as adaptive feedback control technique,some sufficient conditions are derived to achieve complete adaptive synchronization of the addressed neural networks.Our synchronization criterion is easily verified and does not solve any linear matrix inequality.Moreover,a numerical example and its simulation are provided,which demonstrate the effectiveness and correctness of the theoretical results.

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ZHOU Ali, YIN Fancheng. Adaptive synchronization of stochastic neural networks with mixed time-varying delays and Markovian switching[J]. Journal of Nanjing University of Information Science & Technology,2016,8(6):513-517

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  • Received:April 25,2016
  • Online: December 14,2016
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