Adaptive control of a class of strict feedback nonlinear systems under replay attacks. (December 2020)

• Record Type: Journal Article
• Authors: Huang, Jiangshuai; Zhao, Ling; Wang, Qing-Guo
• Is Part Of: ISA transactions. Volume 107(2021)
• Page Start: 134
• Page End: 142
• Publication Date: 2020-12
• Subjects: Adaptive control -- Nonlinear systems -- Replay attack -- Cyber–physical systems; Engineering instruments -- Periodicals; Engineering instruments; Periodicals; Electronic journals; 629.805
• DOI: 10.1016/j.isatra.2020.08.001
• Languages: English
• ISSNs: 0019-0578

Abstract

Abstract: The adaptive control of a class of strict-feedback nonlinear system under replay attack is investigated in this paper. Durations of each attack and the resting time after each attack are analyzed and their explicit bounds are presented to ensure closed-loop stability. Two scenarios are considered. In the first scenario, it is shown that if the duration of each attack is less than a given constant, asymptotical convergence of system output is still preserved. The second scenario shows that if the resting time of each attack meets certain condition after each arbitrarily long duration of attack, closed-loop boundedness is still preserved. This shows that the system controlled under our proposed adaptive controller will not be broken down even in the presence of replay attacks. Simulation results are given to illustrate the effectiveness of the control schemes. Highlights: Adaptive control of a class of nonlinear system under replay attack is investigated. If the duration is less than a given constant, asymptotical convergence is preserved. If the resting time meets certain condition, closed-loop boundedness is preserved.