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Extended dissipative synchronization for semi-Markov jump complex dynamic networks via memory sampled-data control scheme

机译:通过内存采样数据控制方案扩展半马尔可夫跳跃复杂动态网络的扩展耗散同步

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摘要

The work is concerned with the synchronization issue of complex dynamic networks subject to the semi-Markov process. The semi-Markov process is used to describe the switching among different modes of network topology. Meanwhile, a constant signal transmission delay is considered in the sampled-data controller when dealing with the synchronization problem. The main purpose is to design a novel memory sampled-data control scheme to ensure the synchronization of the master-slave system. With the help of some improved integral inequality techniques, several sufficient conditions are obtained to assure the error system achieves the stochastic stability and satisfies an extended dissipative performance index via constructing Lyapunov function. Finally, two simulation examples are given to verify the validity and superiority of the memory sampled-data controller designed. (C) 2020 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
机译:这项工作涉及复杂动态网络的同步问题,对半马尔可夫进程进行。半马尔可夫进程用于描述不同网络拓扑模式的切换。同时,在处理同步问题时,在采样数据控制器中考虑恒定信号传输延迟。主要目的是设计一种新的内存采样数据控制方案,以确保主从系统的同步。借助于一些改进的积分不等式技术,获得了几个充分的条件以确保误差系统通过构造Lyapunov函数来实现随机稳定性并满足延长的耗散性能指标。最后,给出了两个模拟示例以验证设计的内存采样数据控制器的有效性和优越性。 (c)2020富兰克林学院。 elsevier有限公司出版。保留所有权利。

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  • 来源
    《Journal of the Franklin Institute》 |2020年第15期|10900-10920|共21页
  • 作者单位

    Anhui Univ Technol Sch Elect & Informat Engn AnHui Prov Key Lab Special Heavy Load Robot Maanshan 243002 Peoples R China;

    Liaocheng Univ Sch Math Sci Liaocheng 252059 Shandong Peoples R China;

    Shandong Univ Sci & Technol Coll Math & Syst Sci Qingdao 266590 Peoples R China;

    Henan Univ Sci & Technol Coll Informat Engn Luoyang 471023 Peoples R China|Chengdu Univ Sch Informat Sci & Engn Chengdu 610106 Peoples R China;

    Anhui Univ Technol Sch Elect & Informat Engn AnHui Prov Key Lab Special Heavy Load Robot Maanshan 243002 Peoples R China;

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  • 正文语种 eng
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  • 入库时间 2022-08-18 21:04:29

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