Segment-Weighted Information-Based Event-Triggered Mechanism for Networked Control Systems

Zhou Gu; Dong Yue; Choon Ki Ahn; Shen Yan; Xiangpeng Xie

doi:10.1109/TCYB.2022.3215015

Segment-Weighted Information-Based Event-Triggered Mechanism for Networked Control Systems

Zhou Gu, Dong Yue, Choon Ki Ahn, Shen Yan, Xiangpeng Xie

Research output: Contribution to journal › Article › peer-review

40 Citations (Scopus)

Abstract

In this study, the event-triggered problem of networked control systems (NCSs) is investigated, and a novel information transmission scheme is established. Under this scheme, the segment-weighted information (SWI) in a sliding historical window (SHW) is calculated and then sampled. Compared with the traditional direct sampling method, in this approach, the control input includes historical information in the SHW, thereby leading to less information loss due to sampling. This study also emphasizes on designing an SWI-based event-triggered mechanism (ETM) for scheduling network transmission. Different from most of the existing ETMs, the proposed SWI-based ETM leverages historical information to determine which data are necessary for the whole control system. Our approach can greatly reduce the number of unexpected triggering events of a control system with stochastic disturbances owing to the introduction of the SWI in the ETM. Moreover, Zeno phenomena are prevented thanks to periodic sampling. Sufficient conditions are derived based on the Lyapunov functional approach, and a numerical simulation example is provided to demonstrate the effectiveness of the proposed method.

Original language	English
Pages (from-to)	5336-5345
Number of pages	10
Journal	IEEE Transactions on Cybernetics
Volume	53
Issue number	8
DOIs	https://doi.org/10.1109/TCYB.2022.3215015
Publication status	Published - 2023 Aug 1

Bibliographical note

Funding Information:
This work was supported in part by the National Natural Science Foundation of China under Grant 62273183, Grant 62022044, and Grant 62103193, and in part by the National Research Foundation of Korea (NRF) Grant funded by the Korea Government (Ministry of Science and ICT) under Grant NRF- 2020R1A2C1005449.

Publisher Copyright:
© 2013 IEEE.

Keywords

Event-triggered mechanism (ETM)
networked control system (NCS)
segment-weighted information (SWI)
sliding historical window (SHW)

ASJC Scopus subject areas

Software
Information Systems
Human-Computer Interaction
Electrical and Electronic Engineering
Control and Systems Engineering
Computer Science Applications

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10.1109/TCYB.2022.3215015

Cite this

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title = "Segment-Weighted Information-Based Event-Triggered Mechanism for Networked Control Systems",

abstract = "In this study, the event-triggered problem of networked control systems (NCSs) is investigated, and a novel information transmission scheme is established. Under this scheme, the segment-weighted information (SWI) in a sliding historical window (SHW) is calculated and then sampled. Compared with the traditional direct sampling method, in this approach, the control input includes historical information in the SHW, thereby leading to less information loss due to sampling. This study also emphasizes on designing an SWI-based event-triggered mechanism (ETM) for scheduling network transmission. Different from most of the existing ETMs, the proposed SWI-based ETM leverages historical information to determine which data are necessary for the whole control system. Our approach can greatly reduce the number of unexpected triggering events of a control system with stochastic disturbances owing to the introduction of the SWI in the ETM. Moreover, Zeno phenomena are prevented thanks to periodic sampling. Sufficient conditions are derived based on the Lyapunov functional approach, and a numerical simulation example is provided to demonstrate the effectiveness of the proposed method.",

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note = "Funding Information: This work was supported in part by the National Natural Science Foundation of China under Grant 62273183, Grant 62022044, and Grant 62103193, and in part by the National Research Foundation of Korea (NRF) Grant funded by the Korea Government (Ministry of Science and ICT) under Grant NRF- 2020R1A2C1005449. Publisher Copyright: {\textcopyright} 2013 IEEE.",

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Segment-Weighted Information-Based Event-Triggered Mechanism for Networked Control Systems

Abstract

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Keywords

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