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On aperiodic event-triggered master-slave synchronization of chaotic Lur'e systems

机译:混沌Lur'e系统的非周期事件触发主从同步

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This paper is concerned with master-slave synchronization for chaotic Lur'e systems subject to aperiodic sampled-data. To reduce the communication burden, an aperiodic event-triggered (APET) transmission scheme is introduced to determine the transmission of the latest sampling synchronization data. In order to reduce the design conservatism, a novel time-dependent Lyapunov functional (TDLF) is constructed to fully use the characteristics about sampling behavior, triggering error, and nonlinear part of the system, simultaneously. A more relaxed constraint criterion is then presented to ensure the positivity of the whole functional between two sampling instants. By partially resorting to the TDLF, the APET-based synchronization criterion depending on the upper and lower bounds of the uncertain sampling period is presented. The synchronization criterion based on aperiodic-sampling mechanism is also provided. Finally, a typical example about neural networks is offered to illustrate the benefit and validity of obtained synchronization methodologies. (C) 2018 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
机译:本文涉及具有非周期性采样数据的混沌Lur'e系统的主从同步。为了减少通信负担,引入了非周期性事件触发(APET)传输方案来确定最新采样同步数据的传输。为了减少设计的保守性,构造了一种新颖的时变Lyapunov函数(TDLF),以同时充分利用有关采样行为,触发误差和系统非线性部分的特性。然后提出一个更为宽松的约束准则,以确保两个采样时刻之间整个功能的积极性。通过部分依靠TDLF,提出了基于APET的同步标准,该标准取决于不确定采样周期的上下限。还提供了基于非周期性采样机制的同步准则。最后,提供了一个有关神经网络的典型例子来说明所获得的同步方法的好处和有效性。 (C)2018富兰克林研究所。由Elsevier Ltd.出版。保留所有权利。

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  • 来源
    《Journal of the Franklin Institute》 |2019年第17期|10576-10592|共17页
  • 作者单位

    Shanghai Univ Sch Mechatron Engn & Automat Shanghai 200444 Peoples R China;

    Western Sydney Univ Sch Comp Engn & Math Sydney NSW 2751 Australia;

    China Aerosp Sci & Ind Acad Informat Technol Beijing 100070 Peoples R China;

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  • 正文语种 eng
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  • 入库时间 2022-08-18 04:58:14

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