控制理论(社会学)
计算机科学
执行机构
信息物理系统
滑模控制
非线性系统
估计员
马尔可夫链
噪音(视频)
数学
控制(管理)
人工智能
物理
统计
量子力学
机器学习
操作系统
图像(数学)
作者
Zhen Liu,Xinkai Chen,Jinpeng Yu
出处
期刊:IEEE Transactions on Industrial Informatics
[Institute of Electrical and Electronics Engineers]
日期:2023-03-01
卷期号:19 (3): 3155-3165
被引量:13
标识
DOI:10.1109/tii.2022.3181274
摘要
This article investigates the issue of security control for stochastic Markov jump cyber-physical systems (SMJCPS) against actuator failures (AF), randomly occurring injection attacks (ROIA), and inaccessible states by virtue of state estimator-based adaptive sliding mode control (SMC) strategy. The knowledge of the states is generated with an estimator not requesting any input information from which a novel switching surface of linear type (SSL) is established. Then, an adaptive SMC input is developed to ensure the attainability of the SSL in limited steps, almost surely under stochastic noise, unknown ROIA, and potential AF. In the light of the arrival of the SSL and stochastic stability theory, a new stochastically stable criterion for the target SMJCPS operating on the defined SSL is deducted in the occurrence of AF, ROIA, and more generally uncertain transition rates. At last, a simulation study is performed, in which the raised control scheme is realized and certified by a tunnel diode circuit model.
科研通智能强力驱动
Strongly Powered by AbleSci AI