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State feedback control of Markovian jump systems with Markovian delay and uncertain transition probability

机译:具有马尔可夫时滞和不确定转移概率的马尔可夫跳跃系统的状态反馈控制。

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This paper is addressed with the networked-based state feedback control issue for a class of discrete-time Markovian jump linear systems (MJLS) with the random sensor to controller (S-C) time delay and the uncertain transition probability. Considering the random time delay occurring in feedback communication link, the resulting closed-loop system is modeled as a discrete-time Markovian jump linear delay system governed by two mutual independence Markov chains. A new stability criterion is established within the Markovian jump framework by applying a Lyapunov stability theory and linear matrix inequalities (LMI) technique. A simulation example illustrates the validity and feasibility of the method.
机译:本文针对一类具有随机传感器到控制器(S-C)时间延迟和不确定转移概率的离散时间马尔可夫跳跃线性系统(MJLS),基于网络的状态反馈控制问题进行了研究。考虑到反馈通信链路中发生的随机时间延迟,将得到的闭环系统建模为由两个相互独立的马尔可夫链控制的离散时间马尔可夫跳跃线性延迟系统。通过应用Lyapunov稳定性理论和线性矩阵不等式(LMI)技术,在马尔可夫跳跃框架内建立了新的稳定性判据。仿真实例说明了该方法的有效性和可行性。

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