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Integral sliding mode synchronization control for Markovian jump inertial memristive neural networks with reaction-diffusion terms

机译:具有反应扩散项的马尔可夫跳跃惯性忆阻神经网络的整体滑模同步控制

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This paper is concerned with the synchronization problem for a class of inertial memristive neural networks (IMNNs), where the Markovian jump parameters and reaction-diffusion terms are involved. First, by choosing a suitable variable substitution, the original second-order differential systems can be transformed into the first-order ones. Then, based on the sliding mode control scheme, a specific sliding mode function that contains some mode-dependent integral terms and an integral term of the symbol function is proposed, so that the computational difficulties in handling Markovian jump IMNNs with reaction-diffusion terms can be solved. The synchronization criterion in forms of algebraic inequalities can be obtained by the ingenious use of some inequality techniques. Finally, three examples are provided to verify the feasibility, practicability and superiority of the proposed theoretical results. (C) 2019 Elsevier B.V. All rights reserved.
机译:本文涉及一类惯性忆阻神经网络(IMNN)的同步问题,其中涉及马尔可夫跳跃参数和反应扩散项。首先,通过选择合适的变量替换,可以将原始的二阶微分系统转换为一阶微分系统。然后,在滑模控制方案的基础上,提出了一个特定的滑模函数,该函数包含一些依赖于模的积分项和一个符号函数的积分项,从而解决了具有反应扩散项的马尔可夫跳跃IMNNs的计算难题。被解决。可以通过巧妙地使用一些不等式技术来获得代数不等式形式的同步标准。最后,通过三个例子验证了所提出理论结果的可行性,实用性和优越性。 (C)2019 Elsevier B.V.保留所有权利。

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