Self-Triggered MPC Design for Distributed Systems Subject to Global Coupled Constraints

This paper investigates a self-triggered distributed model predictive control (DMPC) approach for linear systems with external disturbances and global coupled constraints in communication-limited environments. To handle external disturbances, a robust constraint is imposed on the local system state,...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Chinese Control Conference s. 3060 - 3065
Hlavní autoři: Chen, Qianqian, Li, Shaoyuan
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: Technical Committee on Control Theory, Chinese Association of Automation 28.07.2025
Témata:
Global coupled constraints
Linear systems
Optimal control
Prediction algorithms
Predictive control
Robust DMPC
Self-triggered DMPC
Simulation
Stability analysis
Sufficient conditions
ISSN:1934-1768
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:This paper investigates a self-triggered distributed model predictive control (DMPC) approach for linear systems with external disturbances and global coupled constraints in communication-limited environments. To handle external disturbances, a robust constraint is imposed on the local system state, and the global coupled constraint is accordingly tightened. Based on this, an optimal control problem (OCP) and a self-triggered mechanism are designed to regulate the system's state and decrease computational overhead, respectively. At each predetermined triggered instant, the OCP is solved via a consensusbased algorithm, followed by the re-calculation of the open-loop phase. Sufficient conditions guaranteeing recursive feasibility and closed-loop stability are presented. Simulation results illustrate the validity of the proposed algorithm.
ISSN:1934-1768
DOI:10.23919/CCC64809.2025.11179172