马尔可夫过程
控制理论(社会学)
信息物理系统
滑模控制
计算机科学
模式(计算机接口)
跳跃
控制(管理)
控制器(灌溉)
非线性系统
理论(学习稳定性)
数学
物理
人工智能
统计
操作系统
量子力学
作者
Zhiru Cao,Yugang Niu,Jun Song
出处
期刊:IEEE Transactions on Automatic Control
[Institute of Electrical and Electronics Engineers]
日期:2020-03-01
卷期号:65 (3): 1264-1271
被引量:96
标识
DOI:10.1109/tac.2019.2926156
摘要
This paper addresses a finite-time sliding-mode control problem for a class of Markovian jump cyber-physical systems. It is assumed that the control input signals transmitted via a communication network are vulnerable to cyber-attacks, in which the adversaries may inject false data in a probabilistic way into the control signals. Meanwhile, there may exist randomly occurring uncertainties and peak-bounded external disturbances. A suitable sliding mode controller is designed such that state trajectories are driven onto the specified sliding surface during a given finite-time (possibly short ) interval. By introducing a partitioning strategy, the stochastic finite-time boundedness over the reaching phase and the sliding motion phase is analyzed, respectively. A key feature is that a set of mode-dependent sufficiently small scalars are introduced into some coupled Lyapunov inequalities such that the feasible solutions are easily obtained for the stochastic finite-time boundedness of the closed-loop systems. Finally, the practical system about a single-link robot-arm model is given to illustrate the present method.
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