具有定向拓扑和时变延迟的多权重耦合神经网络的有限时间被动性

IF 5.5 2区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Neurocomputing Pub Date : 2024-09-16 DOI:10.1016/j.neucom.2024.128581
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引用次数: 0

摘要

本文讨论了具有定向拓扑结构和时变延迟的多权重耦合神经网络(MWCNN)的有限时间被动性(FTP)问题。首先,通过设计一种新的状态反馈控制器,给出了所考虑网络的几种 FTP 标准。然后,利用 FTP 结果建立了一些有限时间同步 (FTS) 标准。其次,首先设计了一个混合脉冲和状态反馈控制器,在此基础上提出了不同的 FTP 和 FTS 标准,与不带脉冲的非混合控制器相比,成功地缩短了同步时间。最后,通过数值模拟展示了所获结果的有效性和优越性。
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Finite-time passivity of multi-weighted coupled neural networks with directed topologies and time-varying delay

In this paper, the finite-time passivity (FTP) problem for multi-weighted coupled neural networks (MWCNNs) with directed topologies and time-varying delay is discussed. Firstly, by designing a new state feedback controller, several FTP criteria are given for the considered network. Then, some finite-time synchronization (FTS) criteria are established by employing the FTP results. Secondly, a hybrid impulsive and state feedback controller is first designed, under which different FTP and FTS criteria are presented and the synchronization time is successfully shortened compared to the non-hybrid controller without impulses. Finally, numerical simulations are given to show the effectiveness and superiority of the obtained results.

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来源期刊
Neurocomputing
Neurocomputing 工程技术-计算机:人工智能
CiteScore
13.10
自引率
10.00%
发文量
1382
审稿时长
70 days
期刊介绍: Neurocomputing publishes articles describing recent fundamental contributions in the field of neurocomputing. Neurocomputing theory, practice and applications are the essential topics being covered.
期刊最新文献
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