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首页> 外文期刊>Neural Networks and Learning Systems, IEEE Transactions on >Synchronization of Switched Neural Networks With Communication Delays via the Event-Triggered Control
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Synchronization of Switched Neural Networks With Communication Delays via the Event-Triggered Control

机译：通过事件触发控制实现具有通信延迟的开关神经网络同步

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摘要

This paper addresses the issue of synchronization of switched delayed neural networks with communication delays via event-triggered control. For synchronizing coupled switched neural networks, we propose a novel event-triggered control law which could greatly reduce the number of control updates for synchronization tasks of coupled switched neural networks involving embedded microprocessors with limited on-board resources. The control signals are driven by properly defined events, which depend on the measurement errors and current-sampled states. By using a delay system method, a novel model of synchronization error system with delays is proposed with the communication delays and event-triggered control in the unified framework for coupled switched neural networks. The criteria are derived for the event-triggered synchronization analysis and control synthesis of switched neural networks via the Lyapunov-Krasovskii functional method and free weighting matrix approach. A numerical example is elaborated on to illustrate the effectiveness of the derived results.
机译：本文通过事件触发控制解决了具有通信延迟的切换延迟神经网络的同步问题。为了同步耦合开关神经网络，我们提出了一种新颖的事件触发控制法则，该法则可以极大地减少涉及板载资源有限的嵌入式微处理器的耦合开关神经网络同步任务的控制更新次数。控制信号由适当定义的事件驱动，这些事件取决于测量误差和电流采样状态。通过使用时延系统方法，提出了一种具有时延的同步误差系统的新模型，该模型具有通信时延和事件触发控制的统一框架，用于耦合交换神经网络。通过Lyapunov-Krasovskii函数方法和自由加权矩阵方法，得出了事件触发的同步分析和开关神经网络的控制综合的标准。数值例子详细说明了所得结果的有效性。

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    Shiping Wen; Zhigang Zeng; Michael Z. Q. Chen; Tingwen Huang;

  • 作者单位

    Guangdong Province Key Lab of Digital Manufacturing Equipment, Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China, School of Automation, Guangdong HUST Industrial Technology Research Institute, Huazhong University of Science & Technology, Wuhan, Hubei, China;

    Guangdong Province Key Lab of Digital Manufacturing Equipment, Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China, School of Automation, Guangdong HUST Industrial Technology Research Institute, Huazhong University of Science & Technology, Wuhan, Hubei, China;

    Department of Mechanical Engineering, The University of Hong Kong, Hong Kong;

    Texas A & M University at Qatar, Doha, Qatar;

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  • 正文语种 eng
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  • 关键词

    Switches; Synchronization; Delays; Erbium; Biological neural networks;

    机译：开关;同步;延迟;E;生物神经网络;

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