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Output feedback control of networked systems with a stochastic communication protocol

机译:具有随机通信协议的联网系统的输出反馈控制

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摘要

This paper addresses an output feedback control problem for a class of networked control systems (NCSs) with a stochastic communication protocol. Under the scenario that only one sensor is allowed to obtain the communication access at each transmission instant, a stochastic communication protocol is first defined, where the communication access is modeled by a discrete-time Markov chain with partly unknown transition probabilities. Secondly, by use of a network-based output feedback control strategy and a time delay division method, the closed-loop system is modeled as a stochastic system with multi-time-varying delays, where the inherent characteristic of the network delay is well considered to improve the control performance. Then, based on the above constructed stochastic model, two sufficient conditions are derived for ensuring the mean-square stability and stabilization of the system under consideration. Finally, two examples are given to show the effectiveness of the proposed method. (C) 2016 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
机译:本文针对一类具有随机通信协议的网络控制系统(NCS)解决输出反馈控制问题。在每个传输瞬间只允许一个传感器获得通信访问的情况下,首先定义了一种随机通信协议,其中通信访问由具有部分未知的转移概率的离散时间马尔可夫链建模。其次,通过使用基于网络的输出反馈控制策略和时延划分方法,将闭环系统建模为具有多个时变时延的随机系统,其中充分考虑了网络时延的内在特征。改善控制性能。然后,基于上述构造的随机模型,导出了两个充分条件,以确保所考虑系统的均方稳定性和稳定性。最后,通过两个例子说明了该方法的有效性。 (C)2016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》 |2017年第9期|3838-3853|共16页
  • 作者单位

    Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai Key Lab Power Stn Automat Technol, Shanghai 200072, Peoples R China;

    Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai Key Lab Power Stn Automat Technol, Shanghai 200072, Peoples R China;

    Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai Key Lab Power Stn Automat Technol, Shanghai 200072, Peoples R China;

    Queensland Univ Technol, Sch Elect Engn & Comp Sci, Brisbane, Qld 4001, Australia;

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  • 入库时间 2022-08-18 02:57:41

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