控制理论(社会学)
网络控制系统
模型预测控制
线性矩阵不等式
控制器(灌溉)
计算机科学
服务拒绝攻击
补偿(心理学)
理论(学习稳定性)
马尔可夫链
离散时间和连续时间
Lyapunov稳定性
线性系统
李雅普诺夫函数
控制(管理)
数学
数学优化
非线性系统
人工智能
机器学习
心理学
数学分析
统计
物理
互联网
量子力学
万维网
精神分析
农学
生物
作者
Li Qiu,Caixia Xiang,Yidan Wen,Marzieh Najariyan,Chengxiang Liu,Zongze Wu
摘要
Summary This paper studies the networked control systems (NCS) predictive output feedback control issue with random time delay and denial of service (DoS) attacks. The mathematical description of the random DoS attacks and time delays in controller‐to‐actuator (C‐A) and sensor‐to‐controller (S‐C) communication channels is researched based on Markov stochastic theory. Considering the random characteristics of network‐induced attacks and delays, the closed‐loop NCS is modeled as a discrete‐time linear system with Markov DoS attack and time delay. The stochastic stability criterion of a class of networked predictive control systems with random attack and delay is proposed based on Lyapunov stability theory and the predictive compensation control method. The networked model predictive output feedback controller is designed by applying the parameter compensation method and linear matrix inequality (LMI) technique. Numerical simulation results are proposed to verify the effectiveness of the proposed control strategy.
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