Abstract
This paper deals with adaptive attack-resilient control for Markov jump systems, in which the system mode, sensor and actuator are all attacked. Not only the inputs of system and controller are tampered, but the system mode is also tampered, which may trigger asynchronous switching phenomenon. To describe the asynchronous switching phenomenon, the closed-loop system is modeled as a hidden markov model (HMM). The adaptive control technique is applied to deal with the time-varying attacks on sensor and actuator with reasonable constraints. With the proposed HMM-based adaptive attack-resilient control strategy, the states of Markov system and parameter estimation errors are bounded and the corresponding upper bounds are analyzed. Finally, the proposed strategy is applied to an aircraft model.
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