Prediction-Based State Estimation and Compensation Control for Networked Systems with Communication Constraints and DoS Attacks

Dear Editor, This letter investigates the output tracking control issue of networked control systems (NCSs) with communication constraints and denial-of-service (DoS) attacks in the sensor-to-controller channel, both of which would induce random network delays. A dual-prediction-based compensation control (DPCC) scheme, consisting of a predictive observer and a predictive controller, is proposed to actively compensate for the adverse effect of network delays on NCSs. Compared with existing networked predictive control (NPC) methods, the DPCC scheme only requires the sensor to send a single measurement output to the controller at each sampling instant, and also does not need to know the upper bound of random network delays in advance. The stability condition of the closed-loop system is derived. Finally, numerical simulations are carried out to validate the effectiveness of the proposed scheme.

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Publication Details

Journal
IEEE/CAA Journal of Automatica Sinica
Published
2024-10-08
DOI
https://doi.org/10.1109/jas.2024.124605
Citations
2
Primary Topic
Stability and Control of Uncertain Systems
Type
article
Field-Weighted Citation Impact
0.66

Funders

Controls
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article

Prediction-Based State Estimation and Compensation Control for Networked Systems with Communication Constraints and DoS Attacks

Zhong‐Hua Pang, Zhe Dong, Haibin Guo, Qian Cao
2 citations
IEEE/CAA Journal of Automatica Sinica
Stability and Control of Uncertain Systems
0.66
article

Prediction-Based State Estimation and Compensation Control for Networked Systems with Communication Constraints and DoS Attacks

Zhong‐Hua Pang, Zhe Dong, Haibin Guo, Qian Cao
article en
2 citations

Abstract

Dear Editor, This letter investigates the output tracking control issue of networked control systems (NCSs) with communication constraints and denial-of-service (DoS) attacks in the sensor-to-controller channel, both of which would induce random network delays. A dual-prediction-based compensation control (DPCC) scheme, consisting of a predictive observer and a predictive controller, is proposed to actively compensate for the adverse effect of network delays on NCSs. Compared with existing networked predictive control (NPC) methods, the DPCC scheme only requires the sensor to send a single measurement output to the controller at each sampling instant, and also does not need to know the upper bound of random network delays in advance. The stability condition of the closed-loop system is derived. Finally, numerical simulations are carried out to validate the effectiveness of the proposed scheme.

IEEE/CAA Journal of Automatica SinicaVol. 11(11)
North China University of Technology (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, Natural Science Foundation of Beijing Municipality
Openalex Percentile: Top 30%
Stability and Control of Uncertain Systems
0.66
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