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Stability Analysis of Networked Control Systems with Random Time Delays and Packet Dropouts Modeled by Markov Chains

机译:用马尔可夫链模型的随机时间延迟和包辍学的网络控制系统的稳定性分析

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摘要

This paper investigates the stability analysis problem for a class of discrete-time networked control systems (NCSs) with random time delays and packet dropouts based onunified Markov jump model. The random time delays and packet dropouts existed in feedback communication link are modeled by two independent Markov chains; the resulting closed-loop system is described by a new Markovian jump linear system (MJLS) with Markov delays. Sufficient conditions of the stochastic stability for NCSs is obtained by constructing a novel Lyapunov functional, and the mode-dependent output feedback controller design method is presented based on linear matrix inequality (LMI) technique. A numerical example is given to illustrate the effectiveness of the proposed method.
机译:本文研究了一类离散时间联网控制系统(NCS)的稳定性分析问题,基于随机时间延迟和基于Catalet Markov Jump模型的分组丢失。反馈通信链路中存在的随机时间延迟和分组丢失由两个独立的马尔可夫链建模;由Markov延迟的新的Markovian跳跃线性系统(MJL)描述了所得到的闭环系统。通过构建新颖的Lyapunov功能来获得NCSS的随机稳定性的充分条件,并且基于线性矩阵不等式(LMI)技术来提出模式依赖性输出反馈控制器设计方法。给出了数值例子来说明所提出的方法的有效性。

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