View in EDS

Event-triggered distributed EMPC of nonlinear systems with state-coupled and bounded disturbances.

Saved in:
Bibliographic Details
Title: Event-triggered distributed EMPC of nonlinear systems with state-coupled and bounded disturbances.
Authors: Wang, Dingchao1 (AUTHOR), He, Defeng1 (AUTHOR) hdfzj@zjut.edu.cn, Mu, Jianbin1 (AUTHOR)
Source: International Journal of Systems Science. Jul2026, Vol. 57 Issue 9, p2844-2862. 19p.
Subjects: Nonlinear systems, Multi-objective optimization, Robust stability analysis, Predictive control systems, Decentralized control systems
Abstract: This paper considers a state-coupled nonlinear system with constraints and disturbances. A new event-triggered distributed economic model predictive control (EMPC) strategy is proposed, which not only reduces unnecessary communication but also ensures input-to-state stability of the closed-loop system under bounded disturbances. A multi-objective optimisation approach is employed to resolve the conflict between economic performance and stability. Based on differential game theory, the economic objective function and the stability objective function concerning the optimal economic equilibrium point are optimised separately. Through specially designed contraction constraints in the EMPC optimisation problem, the recursive feasibility of the optimisation problem is ensured, and the stability of the closed-loop system under bounded disturbances is guaranteed. Additionally, a compound triggering mechanism is designed based on the deviation between actual and predicted states and the contraction constraints. Finally, the effectiveness of the proposed strategy is verified through a simulation example of a disturbed state-coupled continuous stirred-tank reactor. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Systems Science is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Description
Abstract:This paper considers a state-coupled nonlinear system with constraints and disturbances. A new event-triggered distributed economic model predictive control (EMPC) strategy is proposed, which not only reduces unnecessary communication but also ensures input-to-state stability of the closed-loop system under bounded disturbances. A multi-objective optimisation approach is employed to resolve the conflict between economic performance and stability. Based on differential game theory, the economic objective function and the stability objective function concerning the optimal economic equilibrium point are optimised separately. Through specially designed contraction constraints in the EMPC optimisation problem, the recursive feasibility of the optimisation problem is ensured, and the stability of the closed-loop system under bounded disturbances is guaranteed. Additionally, a compound triggering mechanism is designed based on the deviation between actual and predicted states and the contraction constraints. Finally, the effectiveness of the proposed strategy is verified through a simulation example of a disturbed state-coupled continuous stirred-tank reactor. [ABSTRACT FROM AUTHOR]
ISSN:00207721
DOI:10.1080/00207721.2025.2564251