State estimation of two-time-scale CPS with binary coding strategy with application to the nuclear reactor

This paper investigates the state estimation problem for a class of two time-scale cyber-physical systems. A binary symmetric channel (BSC) associated with the binary encoding transmission (BCT) scheme is highlighted to enhance the reliability of data transmission. While binary bit strings are being transmitted through memoryless BSC, random error codes due to channel noise may occur. In light of this, a novel BCT-based state estimator is put forth, guaranteeing that the estimation error exponentially ultimately bounded in the mean square sense. To alleviate the numerical stiffness resulting from the two-time-scale property, a novel parameter-based Lyapunov function is developed, along with corresponding parameter-based criteria. Finally, a simulation example is provided to confirm that the theoretical results are valid.

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Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering
Published
2025-10-27
DOI
https://doi.org/10.1177/09596518251383214
Primary Topic
Stability and Control of Uncertain Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

State estimation of two-time-scale CPS with binary coding strategy with application to the nuclear reactor

Li Xu, Chunyu Yang, Lei Ma, Guoqing Wang
Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering
Stability and Control of Uncertain Systems
article

State estimation of two-time-scale CPS with binary coding strategy with application to the nuclear reactor

Li Xu, Chunyu Yang, Lei Ma, Guoqing Wang
article en

Abstract

This paper investigates the state estimation problem for a class of two time-scale cyber-physical systems. A binary symmetric channel (BSC) associated with the binary encoding transmission (BCT) scheme is highlighted to enhance the reliability of data transmission. While binary bit strings are being transmitted through memoryless BSC, random error codes due to channel noise may occur. In light of this, a novel BCT-based state estimator is put forth, guaranteeing that the estimation error exponentially ultimately bounded in the mean square sense. To alleviate the numerical stiffness resulting from the two-time-scale property, a novel parameter-based Lyapunov function is developed, along with corresponding parameter-based criteria. Finally, a simulation example is provided to confirm that the theoretical results are valid.

Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control EngineeringVol. 240(2)
Xuzhou Medical College (CN), China University of Mining and Technology (CN), Second Affiliated Hospital of Xuzhou Medical College (CN)
Openalex Percentile: Top 60%
Stability and Control of Uncertain Systems
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