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A method of Robust stabilization for the delay neural networks with nonlinear perturbations

机译:非线性扰动延时神经网络稳健稳定方法

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In this paper, we consider a class of time-delay dynamical systems with nonlinear perturbation. The nonlinear perturbation functions are assumed bounded, we provide a robust stabilization criterion via designing a memoryless state feedback controller for the time-delay dynamical neural networks with nonlinear perturbation. The sufficient criterion is given in terms of linear matrix inequality (LMI), The checking for robust stabilization of time-delay dynamical neural networks with nonlinear perturbation by our result can be carried out rather simply, and convenient for the application. The applicability of our results is demonstrated by means of two specific examples.
机译:在本文中,我们考虑了一类具有非线性扰动的时延动力系统。假设非线性扰动功能是有界的,我们通过设计具有非线性扰动的时延动态神经网络的无记忆状态反馈控制器提供鲁棒稳定标准。在线性矩阵不等式(LMI)方面给出了足够的标准,可以通过我们的结果进行与非线性扰动的时延动态神经网络的鲁棒稳定的稳定稳定,相当简单,方便应用。我们的结果适用性通过两个具体例子证明。

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