典型文献
Adaptive output regulation for cyber-physical systems under time-delay attacks
文献摘要：
In this paper, we present an output regulation method for unknown cyber-physical systems (CPSs) under time-delay attacks in both the sensor-to-controller (S-C) channel and the controller-to-actuator (C-A) channel. The proposed approach is designed using control inputs and tracking errors which are accessible data. Reinforcement learning is leveraged to update the control gains in real time using policy or value iterations. A thorough stability analysis is conducted and it is found that the proposed controller can sustain the convergence and asymptotic stability even when two channels are attacked. Finally, comparison results with a simulated CPS verify the effectiveness of the proposed output regulation method.
文献关键词：
中图分类号：
作者姓名：
Dan Jin;Bo Chen;Li Yu;Shichao Liu
作者机构：
College of Information Engineering,Zhejiang University of Technology,Hangzhou 310023,Zhejiang,China;Institute of Cyberspace Security,Zhejiang University of Technology,Hangzhou 310023,Zhejiang,China;Department of Electronics,Carleton University,Ottawa,ON K1S5B6,Canada
文献出处：
引用格式：
[1]Dan Jin;Bo Chen;Li Yu;Shichao Liu-.Adaptive output regulation for cyber-physical systems under time-delay attacks)[J].控制理论与技术（英文版）,2022(01):20-31
A类：
B类：
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AB值：
0.619697
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