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具有自适应输出耦合的多个加权反应扩散神经网络的有限时间输出同步

Finite-Time Output Synchronization of Multiple Weighted Reaction-Diffusion Neural Networks With Adaptive Output Couplings.

作者信息

Qiu Qian, Su Housheng

出版信息

IEEE Trans Neural Netw Learn Syst. 2022 May 12;PP. doi: 10.1109/TNNLS.2022.3172490.

Abstract

This article mainly considers the output synchronization (OS) problem of multiple weighted and adaptive output coupled reaction-diffusion neural networks (RDNNs) without and with coupling delays in finite time. Without coupling delays, an adaptive control law and an output feedback controller are, respectively, proposed to ensure that the multiple weighted and output coupled RDNNs are output synchronized and output synchronized in finite time. With coupling delays, an adaptive coupling weights control scheme and a novel feedback controller are put forward to make the multiple weighted RDNNs with output couplings achieve OS in finite time. Moreover, the finite-time OS is considered in the presence of external disturbances. By the Lyapunov approach, several finite-time OS and OS criteria are given. Finally, two simulation examples are presented to justify the effectiveness of the proposed adaptive control laws and controllers.

摘要

本文主要研究了有限时间内多个加权且自适应输出耦合反应扩散神经网络(RDNNs)在无耦合延迟和有耦合延迟情况下的输出同步(OS)问题。在无耦合延迟时,分别提出了一种自适应控制律和一个输出反馈控制器,以确保多个加权且输出耦合的RDNNs在有限时间内实现输出同步和输出同步。在有耦合延迟时,提出了一种自适应耦合权重控制方案和一个新颖的反馈控制器,使具有输出耦合的多个加权RDNNs在有限时间内实现输出同步。此外,还考虑了存在外部干扰时的有限时间输出同步。通过李雅普诺夫方法,给出了几个有限时间输出同步和输出同步准则。最后,给出了两个仿真例子,以验证所提出的自适应控制律和控制器的有效性。

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