Adaptive control of networked control systems under DoS attacks

This research introduces a new adaptive control approach tailored for networked control systems, aimed at addressing the challenges of Denial of Service (DoS) attacks and round-trip time delays. Initially, a compensation mechanism based on estimated values is introduced to counter DoS attacks; subsequently, for round-trip time delay issues, a predictive delay compensation control strategy is designed. The proposed control strategy does not rely on the specific structure or a particular model of the system, but instead solely updates the controller using the system's input and output values. Moreover, we successfully demonstrate the bounded stability of the system using the direct Lyapunov method. Ultimately, the effectiveness and practicality of this method are confirmed through simulation results.

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Publication Details

Journal
Systems Science & Control Engineering
Published
2024-09-30
DOI
https://doi.org/10.1080/21642583.2024.2409123
Citations
2
Primary Topic
Stability and Control of Uncertain Systems
Type
article
Field-Weighted Citation Impact
0.66
Controls
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article

Adaptive control of networked control systems under DoS attacks

Mengting Wang, Shihan Liu, Rong Liu, Linshan Shi
2 citations
Systems Science & Control Engineering
Stability and Control of Uncertain Systems
0.66
article

Adaptive control of networked control systems under DoS attacks

Mengting Wang, Shihan Liu, Rong Liu, Linshan Shi
article en
2 citations

Abstract

This research introduces a new adaptive control approach tailored for networked control systems, aimed at addressing the challenges of Denial of Service (DoS) attacks and round-trip time delays. Initially, a compensation mechanism based on estimated values is introduced to counter DoS attacks; subsequently, for round-trip time delay issues, a predictive delay compensation control strategy is designed. The proposed control strategy does not rely on the specific structure or a particular model of the system, but instead solely updates the controller using the system's input and output values. Moreover, we successfully demonstrate the bounded stability of the system using the direct Lyapunov method. Ultimately, the effectiveness and practicality of this method are confirmed through simulation results.

Systems Science & Control EngineeringVol. 12(1)
State Grid Corporation of China (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 30%
Stability and Control of Uncertain Systems
0.66
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