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Stability analysis of fractional order memristive discontinuous neural networks with partial state control

机译:分数次数偏离偏离偏离神经网络与部分状态控制的稳定性分析

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This paper investigates exponential stability of fractional order memristive discontinuous neural networks (FMDNNs). Under the framework of the fractional order Filippov solution and differential inclusion theory, the global existence of the solution for the FMDNNs is studied by a given growth conditions. Based on fractional stability theory and the properties of the Mittag Leffler function, some new criteria for the stability of FMDNNs are obtained by using effective partial state impulsive control, which only needs to control a small fraction of the states. At every impulsive moment, these states of the trajectory far away from the desired trajectory will be firstly controlled. The relations between stable region and fractional order a, control parameters and control rate are discussed. Finally, a numerical simulation is given to verify the effectiveness of the theoretical analysis. (C) 2019 Elsevier B.V. All rights reserved.
机译:本文研究了分数次数不连续神经网络(FMDNNS)的指数稳定性。 在小数阶Filippov解决方案和差分夹杂物理论的框架下,通过给定的生长条件研究了FMDNNS解决方案的全局存在。 基于分数稳定性理论和Mittag Leffler函数的性质,通过使用有效的部分状态脉冲控制获得FMDNNS稳定性的一些新标准,这只需要控制各种州的一小部分。 在每个冲动的时刻,将首先控制远离所需轨迹的轨迹的这些状态。 讨论了稳定区域和分数阶A,控制参数和控制率之间的关系。 最后,给出了数值模拟来验证理论分析的有效性。 (c)2019 Elsevier B.v.保留所有权利。

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