Event-triggered adaptive sliding mode control of cyber-physical systems under false data injection attack

Yanmei Xue, Wen Ren, Bo-Chao Zheng and Jinke Han

Applied Mathematics and Computation, 2022, vol. 433, issue C

Abstract: This paper studies the event-triggered adaptive sliding mode control(ASMC) problem for the cyber-physical systems (CPSs) under the false data injection attack (FDIA). First, for the unknown upper bound information of the false data injection attack, the adaptive technique is used to estimate the upper bound of the attack mode. Then the event-triggered ASMC method is developed by combining with the event-triggered mechanism. Second, Lyapunov’s stability theory is used to prove the admissibility of the formed event-triggered ASMC design scheme. Finally, simulation results verifies the effectiveness and superiority of the proposed method, which ensures the security and stability of the system and improve the utilization of information resource.

Keywords: Cyber-physical systems (CPSs); Sliding mode control(SMC); Event-triggered; False data injection attack (FDIA) (search for similar items in EconPapers)
Date: 2022
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:433:y:2022:i:c:s0096300322004775

DOI: 10.1016/j.amc.2022.127403

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