Pré-Publication, Document De Travail Année : 2025

Network-Realized Model Predictive Control Part II: Distributed Constraint Management

Résumé

A two-layer control architecture is proposed, which promotes scalable implementations for model predictive controllers. The top layer acts as both reference governor for the bottom layer, and as a feedback controller for the regulated network. By employing set-based methods, global theoretical guarantees are obtained by enforcing local constraints upon the variables of the network and of the first layer's implementation. The proposed technique offers recursive feasibility guarantees as one of its central features, and the expressions of the resulting predictive strategies bear a striking resemblance to classical formulations from model predictive control literature, allowing for flexible and easily customizable implementations.

Fichier principal
Vignette du fichier
manuscript.pdf (1.48 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Licence

Dates et versions

hal-04948202 , version 1 (14-02-2025)
hal-04948202 , version 2 (18-02-2025)
hal-04948202 , version 3 (23-12-2025)
hal-04948202 , version 4 (16-02-2026)
hal-04948202 , version 5 (10-04-2026)

Licence

Identifiants

  • HAL Id : hal-04948202 , version 2

Citer

Andrei Sperilă, Alessio Iovine, Sorin Olaru, Patrick Panciatici. Network-Realized Model Predictive Control Part II: Distributed Constraint Management. 2025. ⟨hal-04948202v2⟩
166 Consultations
191 Téléchargements

Partager

  • More