Adaptive Event-Triggered Control for Uncertain Nonlinear Systems With Dynamic Limits Error Constraints

In this article, a novel adaptive event-triggered (ET) control scheme with dynamic limits error constraints is presented. To solve the problem of difficult selection of error constraint limit, the new error transformation function is constructed, which relates the constraint limit to the error and directly constrains the error. The constraint limit of the error designed in this article will change with the change of the error, so that the constraint limit has the ability of self-adjustment to improve the flexibility of error constraints. In addition, a novel ET mechanism based on relative threshold is proposed in this article. The mechanism associates the threshold with the tracking error. When the tracking error of the system changes, the threshold of the ET mechanism will also change accordingly, so as to adjust the number of triggers. On the premise of ensuring the control performance of the system, it can save communication resources as much as possible. Finally, a simulation implementation of the control strategy is carried out through numerical simulation to prove its effectiveness.

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Publication Details

Journal
IEEE Transactions on Systems Man and Cybernetics Systems
Published
2025-06-27
DOI
https://doi.org/10.1109/tsmc.2025.3573792
Citations
1
Primary Topic
Advanced Control Systems Optimization
Type
article
Field-Weighted Citation Impact
1.21

Funders

Controls
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article

Adaptive Event-Triggered Control for Uncertain Nonlinear Systems With Dynamic Limits Error Constraints

Dongsheng Yang, Xingce Liu, Juan Zhang, Yingchun Wang
1 citations
IEEE Transactions on Systems Man and Cybernetics Systems
Advanced Control Systems Optimization
1.21
article

Adaptive Event-Triggered Control for Uncertain Nonlinear Systems With Dynamic Limits Error Constraints

Dongsheng Yang, Xingce Liu, Juan Zhang, Yingchun Wang
article en
1 citations

Abstract

In this article, a novel adaptive event-triggered (ET) control scheme with dynamic limits error constraints is presented. To solve the problem of difficult selection of error constraint limit, the new error transformation function is constructed, which relates the constraint limit to the error and directly constrains the error. The constraint limit of the error designed in this article will change with the change of the error, so that the constraint limit has the ability of self-adjustment to improve the flexibility of error constraints. In addition, a novel ET mechanism based on relative threshold is proposed in this article. The mechanism associates the threshold with the tracking error. When the tracking error of the system changes, the threshold of the ET mechanism will also change accordingly, so as to adjust the number of triggers. On the premise of ensuring the control performance of the system, it can save communication resources as much as possible. Finally, a simulation implementation of the control strategy is carried out through numerical simulation to prove its effectiveness.

IEEE Transactions on Systems Man and Cybernetics SystemsVol. 55(9)
Northeastern University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Climate action
Openalex Percentile: Top 20%
Advanced Control Systems Optimization
1.21
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