A Relative-Error-Dependent TOD Protocol for Cyber-Physical Systems Under an Event-Triggered Communication

To deal with different data magnitudes or measurement units of different system nodes, a novel relative-error-dependent try-once-discard (RED-TOD) communication protocol with event-triggered detectors is proposed to improve the accuracy and reliability of node selection for band-limited cyber-physical systems. With the combined effect of the absolute error and the relative error, a novel node activation condition is proposed to comprehensively reflect and fairly compare node transmission requirements. Under such a stricter scheduling rule, the node selection is more accurate as required and the available communication bandwidth is utilized with higher efficiency. Moreover, periodic sampling module and event-triggered detectors are placed before RED-TOD scheduling scheme to deal with redundancy and inaccurate transmissions of the existing variable sampling scheme. Taking the proposed scheduling scheme and non-small network-induced delay into account, an impulsive closed-loop system model is well established. Sufficient criteria for input-to-state stabilization are derived by employing the Lyapunov-Krasovskii functional approach. A searching algorithm is also presented to co-design optimized scheduler parameters and controller gains. Furthermore, to avoid continuous calculations, the next transmission instant and the dormant period of the event-triggered detector are predicted according to the present information carried by each node. Finally, an illustrative example is employed to demonstrate the effectiveness and superiority of the proposed scheduling method.

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Publication Details

Journal
IEEE Transactions on Industrial Cyber-Physical Systems
Published
2025-01-01
DOI
https://doi.org/10.1109/ticps.2025.3557733
Primary Topic
Network Time Synchronization Technologies
Type
article
Field-Weighted Citation Impact
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article

A Relative-Error-Dependent TOD Protocol for Cyber-Physical Systems Under an Event-Triggered Communication

Engang Tian, Hongchenyu Yang, Chen Peng
IEEE Transactions on Industrial Cyber-Physical Systems
Network Time Synchronization Technologies
article

A Relative-Error-Dependent TOD Protocol for Cyber-Physical Systems Under an Event-Triggered Communication

Engang Tian, Hongchenyu Yang, Chen Peng
article en

Abstract

To deal with different data magnitudes or measurement units of different system nodes, a novel relative-error-dependent try-once-discard (RED-TOD) communication protocol with event-triggered detectors is proposed to improve the accuracy and reliability of node selection for band-limited cyber-physical systems. With the combined effect of the absolute error and the relative error, a novel node activation condition is proposed to comprehensively reflect and fairly compare node transmission requirements. Under such a stricter scheduling rule, the node selection is more accurate as required and the available communication bandwidth is utilized with higher efficiency. Moreover, periodic sampling module and event-triggered detectors are placed before RED-TOD scheduling scheme to deal with redundancy and inaccurate transmissions of the existing variable sampling scheme. Taking the proposed scheduling scheme and non-small network-induced delay into account, an impulsive closed-loop system model is well established. Sufficient criteria for input-to-state stabilization are derived by employing the Lyapunov-Krasovskii functional approach. A searching algorithm is also presented to co-design optimized scheduler parameters and controller gains. Furthermore, to avoid continuous calculations, the next transmission instant and the dormant period of the event-triggered detector are predicted according to the present information carried by each node. Finally, an illustrative example is employed to demonstrate the effectiveness and superiority of the proposed scheduling method.

IEEE Transactions on Industrial Cyber-Physical SystemsVol. 3
Shanghai University (CN), University of Shanghai for Science and Technology (CN)
Openalex Percentile: Top 94%
Network Time Synchronization Technologies
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