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Projective lag synchronization of Markovian jumping neural networks with mode-dependent mixed time-delays based on an integral sliding mode controller

机译:基于积分滑模控制器的混合模式时滞马尔可夫跳跃神经网络的投影滞后同步

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摘要

In this paper, the mode-dependent projective synchronization problem of stochastic neural networks with mixed time-delays is investigated. By considering a proper sliding model surface, a sliding mode controller (SMC) is synthesized to guarantee the reach-ability of the specified sliding surface. The globally asymptotically stable of the sliding mode dynamical system is surveyed with the Lyapunov stability theory and linear matrix inequality (LMI) technique. A sufficient projective synchronization criterion for the stochastic neural networks is derived. Finally, numerical simulations are exploited to illustrate the effectiveness of the main results. (C) 2015 Elsevier B.V. All rights reserved.
机译:本文研究了具有混合时滞的随机神经网络的与模式相关的投影同步问题。通过考虑合适的滑模表面,可以合成滑模控制器(SMC)以确保指定滑模表面的可达性。利用Lyapunov稳定性理论和线性矩阵不等式(LMI)技术研究了滑模动力系统的全局渐近稳定性。推导了足够的随机神经网络的投影同步准则。最后,利用数值模拟来说明主要结果的有效性。 (C)2015 Elsevier B.V.保留所有权利。

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