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Finite-time passivity of neural networks with time varying delay

机译:具有时变时滞的神经网络的有限时间无源性

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摘要

In this paper, the problems of different finite-time passivity have been concerned for neural network with time-varying delay. Firstly, some different kinds of definitions are given out relating to finite-time passivity of neural networks; then, two different kinds of controllers are established to guarantee neural network finite-time passive, meanwhile, the corresponding conditions are derived by employing inequality techniques and Lyapunov function theories. Moreover, the control protocols for the finite-time stabilization of neural network are presented based on the finite-time passivity theory. At last, some numerical examples are provided to illustrate the effectiveness of resulted conclusions. (C) 2020 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
机译:本文针对具有时变时滞的神经网络,研究了不同时限被动性的问题。首先,给出了与神经网络的有限时间无源性有关的一些不同定义。然后,建立了两种不同的控制器来保证神经网络的有限时间被动性,同时,利用不等式技术和Lyapunov函数理论推导了相应的条件。此外,基于有限时间无源性理论,提出了神经网络有限时间稳定的控制协议。最后,通过数值例子说明了结论的有效性。 (C)2020富兰克林研究所。由Elsevier Ltd.出版。保留所有权利。

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    《Journal of the Franklin Institute》 |2020年第4期|2437-2456|共20页
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    Jiangsu Univ Sch Elect & Informat Engn Zhenjiang 212013 Peoples R China;

    Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Wuhan 430074 Peoples R China;

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