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首页> 外文期刊>Nonlinear analysis. Hybrid systems: An International Multidisciplinary Journal >Robust finite-time fault-tolerant control for networked control systems with random delays: A Markovian jump system approach
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Robust finite-time fault-tolerant control for networked control systems with random delays: A Markovian jump system approach

机译:随机延迟随机延迟网络控制系统的强大有限时间容错控制:Markovian跳跃系统方法

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In this paper, the problems of robust finite-time fault-tolerant stochastic stability and stabilization of networked control systems (NCSs) in the presence of random delays and actuator faults are investigated. First, sensor-to-controller and controller-to-actuator random delays are modeled as a Markov chain. Since in the network environment, the accurate access to the transition probabilities (TPs) of Markov chain is hard or even impossible, TPs information is limited. Then, by considering actuator fault indicator matrix and employing the state augmentation technique, the resulting closed-loop system is transformed into a Markovian jump system (MJS). Based on this model, the sufficient conditions are developed to ensure the finite-time fault-tolerant stochastic stability of the faulty NCS, and the fault-tolerant controllers are designed by solving a feasibility problem in terms of linear matrix inequalities (LMIs). The effectiveness of the proposed approach is illustrated during the simulation of a numerical example. Moreover, the faulty behavior of a continuous-stirred tank reactor (CSTR) is investigated and the applicability of the proposed method is demonstrated. (c) 2020 Elsevier Ltd. All rights reserved.
机译:本文研究了随机延迟和致动器故障存在的强大有限时间容错随机稳定性和网络控制系统(NCSS)的稳定问题。首先,传感器到控制器和控制器到执行器随机延迟被建模为Markov链。由于在网络环境中,准确访问Markov链的转换概率(TPS)是硬甚至不可能的,TPS信息有限。然后,通过考虑执行器故障指示符矩阵并采用状态增强技术,将得到的闭环系统转换为Markovian跳转系统(MJS)。基于该模型,开发了足够的条件,以确保故障NCS的有限时间容错随机稳定性,并且通过在线性矩阵不等式(LMI)方面通过解决可行性问题而设计了容错控制器。在数值示例的模拟期间说明了所提出的方法的有效性。另外,研究了连续搅拌釜反应器(CSTR)的故障行为,并证明了所提出的方法的适用性。 (c)2020 elestvier有限公司保留所有权利。

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