Journal
INFORMATION SCIENCES
Volume 423, Issue -, Pages 145-156Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2017.09.042
Keywords
Sensor attacks; Actuator attacks; Adaptive control; Resilient control; Asymptotic stability; State constraints
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Funding
- National Natural Science Foundation of China [61621004, 61420106016, 61773097]
- State Key Laboratory of Synthetical Automation for Process Industries [2013ZCX01]
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In this paper, an improved adaptive resilient control scheme is proposed for mitigating adversarial attacks in cyber-physical systems (CPSs). By introducing a two-step backstepping approach, an adaptive bound estimation mechanism and a Nussbam function with faster growth rate, the effects of unknown sensor and actuator attacks are successfully mitigated. An exponentially-decaying barrier Lypunov function is used to constrain state variables. Compared with the existing results where only uniform ultimate boundedness is achieved, the developed controller guarantees that the closed-loop system is asymptotically stable and simultaneously the state constraints are not violated even in the presence of the time-varying sensor and actuator attacks. Simulation results are presented to verify the efficacy of the proposed scheme. (C) 2017 Elsevier Inc. All rights reserved.
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