HMM-based adaptive attack-resilient control for Markov jump system and application to an aircraft model

Hangfeng He, Wenhai Qi and Yonggui Kao

Applied Mathematics and Computation, 2021, vol. 392, issue C

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.

Keywords: Markov jump systems; Hidden markov model; Attack-resilient control; Asynchronous phenomenon (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:392:y:2021:i:c:s0096300320306214

DOI: 10.1016/j.amc.2020.125668

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