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Modeling and Output Feedback Control of Networked Control Systems with Both Time Delays; and Packet Dropouts

机译:具有两个时滞的网络控制系统的建模和输出反馈控制;和数据包丢失

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摘要

This paper is concerned with the problem of modeling and output feedback controller design for a class of discrete-time networked control systems (NCSs) with time delays and packet dropouts. A Markovian jumping method is proposed to deal with random time delays and packet dropouts. Different from the previous studies on the issue, the characteristics of networked communication delays and packet dropouts can be truly reflected by the unified model; namely, both sensor-to-controller (S-C) and controller-to-actuator (C-A) time delays, and packet dropouts are modeled and their history behavior is described by multiple Markov chains. The resulting closed-loop system is described by a new Markovian jump linear system (MJLS) with Markov delays model. Based on Lyapunov stability theory and linear matrix inequality (LMI) method, sufficient conditions of the stochastic stability and output feedback controller design method for NCSs with random time delays and packet dropouts are presented. A numerical example is given to illustrate the effectiveness of the proposed method.
机译:本文关注一类具有时间延迟和丢包的离散时间网络控制系统(NCS)的建模和输出反馈控制器设计问题。提出了一种马尔可夫跳跃方法来处理随机时延和丢包问题。与以往关于该问题的研究不同,统一模型可以真实地反映网络通信时延和丢包的特征。即,传感器到控制器(S-C)和控制器到执行器(C-A)的时间延迟,以及数据包丢失都经过建模,其历史行为由多个马尔可夫链描述。由此产生的闭环系统由具有马尔可夫延迟模型的新型马尔可夫跳跃线性系统(MJLS)来描述。基于Lyapunov稳定性理论和线性矩阵不等式(LMI)方法,给出了随机时滞和丢包情况下NCS的随机稳定性的充分条件和输出反馈控制器的设计方法。数值例子说明了该方法的有效性。

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  • 来源
    《Mathematical Problems in Engineering》 |2013年第4期|609236.1-609236.11|共11页
  • 作者单位

    Shenzhen Key Laboratory of Urban Rail Transit, College of Mechatronics and Control Engineering,Shenzhen University, Shenzhen 518060, China,Key Laboratory of Autonomous Systems and Network Control, Ministry of Education,School of Control Science and Engineering, South China University of Technology, Guangzhou 510640, China;

    Shenzhen Key Laboratory of Urban Rail Transit, College of Mechatronics and Control Engineering,Shenzhen University, Shenzhen 518060, China;

    Key Laboratory of Autonomous Systems and Network Control, Ministry of Education,School of Control Science and Engineering, South China University of Technology, Guangzhou 510640, China;

    Key Laboratory of Autonomous Systems and Network Control, Ministry of Education,School of Control Science and Engineering, South China University of Technology, Guangzhou 510640, China;

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