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具有双边随机时延和丢包的网络控制系统稳定性分析
引用本文:刘义才,刘斌,张永,李维刚. 具有双边随机时延和丢包的网络控制系统稳定性分析[J]. 控制与决策, 2017, 32(9): 1565-1573
作者姓名:刘义才  刘斌  张永  李维刚
作者单位:武汉科技大学信息科学与工程学院,武汉430081;武汉商学院机电工程与汽车服务学院,武汉430056,武汉科技大学信息科学与工程学院,武汉430081,武汉科技大学信息科学与工程学院,武汉430081,武汉科技大学信息科学与工程学院,武汉430081
基金项目:国家自然科学基金项目(61104027).
摘    要:针对具有双边随机网络时延和丢包的网络控制系统,首先基于Markov的随机过程描述系统丢包的特性;然后利用系统增广矩阵的方法建立参数不确定的离散时间跳变系统模型,在考虑Markov链转移概率矩阵中部分元素未知甚至完全未知的条件下,采用Lyapunov稳定理论和随机理论的分析方法,设计依赖于丢包特性且满足系统均方稳定要求的时变控制器;最后通过数值算例仿真表明所提出方法的有效性.

关 键 词:网络控制系统  时延  丢包  时变控制器  随机均方稳定

Stability analysis for networked control systems with bilateral random delay and packet dropout
LIU Yi-cai,LIU Bin,ZHANG Yong and LI Wei-gang. Stability analysis for networked control systems with bilateral random delay and packet dropout[J]. Control and Decision, 2017, 32(9): 1565-1573
Authors:LIU Yi-cai  LIU Bin  ZHANG Yong  LI Wei-gang
Affiliation:Institute of Information Science and Engineering,Wuhan University of Science and Technology,Wuhan 430081,China;Department of Mechatronics Engineering and Automotive Services,Wuhan Business University,Wuhan 430056,China,Institute of Information Science and Engineering,Wuhan University of Science and Technology,Wuhan 430081,China,Institute of Information Science and Engineering,Wuhan University of Science and Technology,Wuhan 430081,China and Institute of Information Science and Engineering,Wuhan University of Science and Technology,Wuhan 430081,China
Abstract:This paper investigates the stochastic mean square stability for the networked control systems with bilateral random network and packet dropout. Firstly, the stochastic characteristic of packet dropout is described as the Markov process,and the Markov jump systems with uncertain parameters are modeled by using the method of system augmented matrix. Then under the condition of taking into account the incomplete Markovian transition probability matrix, the necessary and sufficient criterias of stabilization are obtained based on the theory of Lyapunov stability and stochastic process. Simultaneously, the time varying controller is designed to guarantee the stochastic mean square stability of such systems. Finally, a numerical example is given to illustrate the effectiveness of the proposed method.
Keywords:
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