Adaptive sliding mode H <sub>∞</sub> control for discrete time-varying singular systems with deception attacks

This paper studies the problem of adaptive sliding mode control (SMC) for discrete time-varying singular systems (DTVSSs) with deception attacks. The deception attacks that make the system unstable are modeled as an unknown nonlinear function. Firstly, some sufficient conditions for ensuring the admissibility with H ∞ performance of the system are given. Secondly, a novel method is proposed to solve the controller gain. Thirdly, to estimate the unknown parameter in upper bound of deception attacks, an adaptive SMC law is established to assure that the reachability of sliding surfaces can be achieved and the effect of deception attacks on the system is weakened. Finally, the developed method is verified by two examples.

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Publication Details

Journal
Measurement and Control
Published
2024-11-18
DOI
https://doi.org/10.1177/00202940241293582
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

Adaptive sliding mode H ∞ control for discrete time-varying singular systems with deception attacks

Yongxiao Tian, Qian Zhang, Caiyun Liu, Ping Qi
Measurement and Control
Adaptive Control of Nonlinear Systems
article

Adaptive sliding mode H ∞ control for discrete time-varying singular systems with deception attacks

Yongxiao Tian, Qian Zhang, Caiyun Liu, Ping Qi
article en

Abstract

This paper studies the problem of adaptive sliding mode control (SMC) for discrete time-varying singular systems (DTVSSs) with deception attacks. The deception attacks that make the system unstable are modeled as an unknown nonlinear function. Firstly, some sufficient conditions for ensuring the admissibility with H ∞ performance of the system are given. Secondly, a novel method is proposed to solve the controller gain. Thirdly, to estimate the unknown parameter in upper bound of deception attacks, an adaptive SMC law is established to assure that the reachability of sliding surfaces can be achieved and the effect of deception attacks on the system is weakened. Finally, the developed method is verified by two examples.

Measurement and ControlVol. 58(9)
Shanghai University (CN), Tongling University (CN)
National Natural Science Foundation of China
Peace, Justice and strong institutions
Openalex Percentile: Top 76%
Adaptive Control of Nonlinear Systems
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