Event-Triggered Adaptive Horizon DMPC for Discrete-Time Coupled Nonlinear Systems

Dear Editor, This letter studies the event-triggered adaptive horizon distributed model predictive control problem for discrete-time coupled nonlinear systems with additive disturbances. By constructing a new dual-model optimal control problem, an event-triggered mechanism and an adaptive prediction horizon scheme are co-designed in the proposed scheme. Notably, the upper bound of the triggering interval remains independent of the dynamically shrinking prediction horizon. This enables the event-triggered mechanism to operate effectively even when the prediction horizon becomes zero, thus achieving cost savings throughout the control process. In addition, the sufficient conditions of the proposed scheme associated with the feasibility and stability are provided. The effectiveness is illustrated through a practical example.

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Publication Details

Journal
IEEE/CAA Journal of Automatica Sinica
Published
2025-03-07
DOI
https://doi.org/10.1109/jas.2024.124704
Citations
2
Primary Topic
Advanced Control Systems Optimization
Type
article
Field-Weighted Citation Impact
2.43
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article

Event-Triggered Adaptive Horizon DMPC for Discrete-Time Coupled Nonlinear Systems

Jingyi Wang, Yi Zhao, Rui Guo, Jianwen Feng
2 citations
IEEE/CAA Journal of Automatica Sinica
Advanced Control Systems Optimization
2.43
article

Event-Triggered Adaptive Horizon DMPC for Discrete-Time Coupled Nonlinear Systems

Jingyi Wang, Yi Zhao, Rui Guo, Jianwen Feng
article en
2 citations

Abstract

Dear Editor, This letter studies the event-triggered adaptive horizon distributed model predictive control problem for discrete-time coupled nonlinear systems with additive disturbances. By constructing a new dual-model optimal control problem, an event-triggered mechanism and an adaptive prediction horizon scheme are co-designed in the proposed scheme. Notably, the upper bound of the triggering interval remains independent of the dynamically shrinking prediction horizon. This enables the event-triggered mechanism to operate effectively even when the prediction horizon becomes zero, thus achieving cost savings throughout the control process. In addition, the sufficient conditions of the proposed scheme associated with the feasibility and stability are provided. The effectiveness is illustrated through a practical example.

IEEE/CAA Journal of Automatica SinicaVol. 12(8)
Shenzhen University (CN)
Climate action
Openalex Percentile: Top 13%
Advanced Control Systems Optimization
2.43
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