控制理论(社会学)
可达性
概率逻辑
滑模控制
非线性系统
模式(计算机接口)
计算机科学
国家(计算机科学)
自适应控制
理论(学习稳定性)
控制(管理)
人工智能
算法
量子力学
机器学习
操作系统
物理
作者
Yujiao Zhang,Jun Hu,Hongxu Zhang,Xiaojian Yi
摘要
Summary This article investigates the output‐feedback‐based adaptive sliding mode control problem for a class of switched systems with probabilistic nonlinearities and replay attacks. The adversary might attack the system during the communication transmissions. The objective of the problem addressed is to design a new output‐feedback‐based adaptive sliding mode control law by utilizing the actual measured output information such that the impacts of immeasurable states and probabilistic replay attacks are compensated. In addition, the input‐to‐state stability in probability of closed‐loop switched system and the reachability analysis of the specified sliding surface are discussed, where the sufficient conditions are established accordingly. Finally, two simulations are provided to illustrate the effectiveness of the proposed sliding mode control method.
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