Sliding Mode Control With Adaptive Quantizer's Parameters for Markov Jump Systems Under DoS Attacks

ABSTRACT Under the digital communication channel, signal quantization will complicate the design and analysis of controlled systems due to quantization errors. In most of the existing work, the controller design only focuses on the robustness of the controlled system, that is, the performance of the system in the presence of quantization errors, without considering whether the effects of the quantization process can be eliminated, which leads to conservatism and limits the improvement of control performance. Therefore, in this work, a sliding mode controller is designed for Markov jump systems subject to denial‐of‐service attacks, without considering quantization. Then, under the quantization case, the same control performance can still be achieved based on the existing sliding mode controller by designing an online adjustment strategy for the quantizer's parameters. Using the Lyapunov theory, the exponential ultimate boundedness of the system and the reachability of the sliding surface are analyzed respectively. Finally, the simulation results illustrate the proposed strategy.

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Publication Details

Journal
International Journal of Robust and Nonlinear Control
Published
2025-03-28
DOI
https://doi.org/10.1002/rnc.7941
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

Sliding Mode Control With Adaptive Quantizer's Parameters for Markov Jump Systems Under DoS Attacks

Xiaorong Xie, Bei Chen
International Journal of Robust and Nonlinear Control
Adaptive Control of Nonlinear Systems
article

Sliding Mode Control With Adaptive Quantizer's Parameters for Markov Jump Systems Under DoS Attacks

Xiaorong Xie, Bei Chen
article en

Abstract

ABSTRACT Under the digital communication channel, signal quantization will complicate the design and analysis of controlled systems due to quantization errors. In most of the existing work, the controller design only focuses on the robustness of the controlled system, that is, the performance of the system in the presence of quantization errors, without considering whether the effects of the quantization process can be eliminated, which leads to conservatism and limits the improvement of control performance. Therefore, in this work, a sliding mode controller is designed for Markov jump systems subject to denial‐of‐service attacks, without considering quantization. Then, under the quantization case, the same control performance can still be achieved based on the existing sliding mode controller by designing an online adjustment strategy for the quantizer's parameters. Using the Lyapunov theory, the exponential ultimate boundedness of the system and the reachability of the sliding surface are analyzed respectively. Finally, the simulation results illustrate the proposed strategy.

International Journal of Robust and Nonlinear ControlVol. 35(11)
Shanghai University of Engineering Science (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 94%
Adaptive Control of Nonlinear Systems
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