A Multiagent Approach Using Model-Based Predictive Control for an Irrigation Canal

Thang Pham 1 Clément Raievsky 2 Jean-Paul Jamont 3
1 MACSY - Modélisation, Analyse et Commande des SYstèmes dynamiques
LCIS - Laboratoire de Conception et d'Intégration des Systèmes
3 COSY - SYstèmes complexes COopérants
LCIS - Laboratoire de Conception et d'Intégration des Systèmes
Abstract : This paper presents the application of the multiagent paradigm to a distributed model-based predictive control (DMPC) scheme in order to improve its fault tolerance, give it the ability to dynamically adapt its strategy to optimize energy consumption, and to allow it to scale up. This approach is illustrated in the control of a canal simulated using realistic, physics-based 1D models in MatLab. The individual agent behavior, based on DMPC, and the multiagent composition mechanism are described. Presented simulation results illustrate the ability of the proposed control scheme to adapt to a hardware failure and to take global strategies into account.
Complete list of metadatas

https://hal.archives-ouvertes.fr/hal-01011274
Contributor : Clément Raievsky <>
Submitted on : Monday, June 23, 2014 - 2:48:36 PM
Last modification on : Monday, April 9, 2018 - 12:22:49 PM

Identifiers

Collections

Citation

Thang Pham, Clément Raievsky, Jean-Paul Jamont. A Multiagent Approach Using Model-Based Predictive Control for an Irrigation Canal. 12th International Conference on Practical Applications of Agents and Multi-Agent Systems, Jun 2014, Salamanca, Spain. pp.87-94, ⟨10.1007/978-3-319-07476-4_1⟩. ⟨hal-01011274⟩

Share

Metrics

Record views

181