Coalitional model predictive control of an irrigation canal

Fuente: arXiv
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Autores principales: Fele, Filiberto, Maestre, José M., Shahdany, Mehdi Hashemy, de la Peña, David Muñoz, Camacho, Eduardo F.
Formato: Preprint
Publicado: 2025
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author Fele, Filiberto
Maestre, José M.
Shahdany, Mehdi Hashemy
de la Peña, David Muñoz
Camacho, Eduardo F.
author_facet Fele, Filiberto
Maestre, José M.
Shahdany, Mehdi Hashemy
de la Peña, David Muñoz
Camacho, Eduardo F.
contents We present a hierarchical control scheme for large-scale systems whose components can exchange information through a data network. The main goal of the supervisory layer is to find the best compromise between control performance and communicational costs by actively modifying the network topology. The actions taken at the supervisory layer alter the control agents' knowledge of the complete system, and the set of agents with which they can communicate. Each group of linked subsystems, or coalition, is independently controlled based on a decentralized model predictive control (MPC) scheme, managed at the bottom layer. Hard constraints on the inputs are imposed, while soft constraints on the states are considered to avoid feasibility issues. The performance of the proposed control scheme is validated on a model of the Dez irrigation canal, implemented on the accurate simulator for water systems SOBEK. Finally, the results are compared with those obtained using a centralized MPC controller.
format Preprint
id arxiv_https___arxiv_org_abs_2501_17561
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Coalitional model predictive control of an irrigation canal
Fele, Filiberto
Maestre, José M.
Shahdany, Mehdi Hashemy
de la Peña, David Muñoz
Camacho, Eduardo F.
Systems and Control
Multiagent Systems
Optimization and Control
93-10, 93B45, 93A14 (Primary) 93-08, 49N10 (Secondary)
We present a hierarchical control scheme for large-scale systems whose components can exchange information through a data network. The main goal of the supervisory layer is to find the best compromise between control performance and communicational costs by actively modifying the network topology. The actions taken at the supervisory layer alter the control agents' knowledge of the complete system, and the set of agents with which they can communicate. Each group of linked subsystems, or coalition, is independently controlled based on a decentralized model predictive control (MPC) scheme, managed at the bottom layer. Hard constraints on the inputs are imposed, while soft constraints on the states are considered to avoid feasibility issues. The performance of the proposed control scheme is validated on a model of the Dez irrigation canal, implemented on the accurate simulator for water systems SOBEK. Finally, the results are compared with those obtained using a centralized MPC controller.
title Coalitional model predictive control of an irrigation canal
topic Systems and Control
Multiagent Systems
Optimization and Control
93-10, 93B45, 93A14 (Primary) 93-08, 49N10 (Secondary)
url https://arxiv.org/abs/2501.17561