A MULTI-AGENT MPC ARCHITECTURE FOR DISTRIBUTED LARGE SCALE SYSTEMS

Valeria Javalera, Bernardo Morcego, Vicenç Puig

2010

Abstract

In the present work, techniques of Model Predictive Control (MPC), Multi Agent Systems (MAS) and Reinforcement Learning (RL) are combined to develop a distributed control architecture for Large Scale Systems (LSS). This architecture is multi-agent based. The system to be controlled is divided in several partitions and there is an MPC Agent in charge of each partition. MPC Agents interact over a platform that allows them to be located physically apart. One of the main new concepts of this architecture is the Negotiator Agent. Negotiator Agents interact with MPC Agents which share control variables. These shared variables represent physical connections between partitions that should be preserved in order to respect the system structure. The case of study, in which the proposed architecture is being applied and tested, is a small drinking water network. The application to a real network (the Barcelona case) is currently under development.

Paper Citation

in Harvard Style

Javalera V., Morcego B. and Puig V. (2010). A MULTI-AGENT MPC ARCHITECTURE FOR DISTRIBUTED LARGE SCALE SYSTEMS . In Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-674-021-4, pages 544-551. DOI: 10.5220/0002715805440551

in Bibtex Style

@conference{icaart10,
author={Valeria Javalera and Bernardo Morcego and Vicenç Puig},
title={A MULTI-AGENT MPC ARCHITECTURE FOR DISTRIBUTED LARGE SCALE SYSTEMS},
booktitle={Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2010},
pages={544-551},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002715805440551},
isbn={978-989-674-021-4},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - A MULTI-AGENT MPC ARCHITECTURE FOR DISTRIBUTED LARGE SCALE SYSTEMS
SN - 978-989-674-021-4
AU - Javalera V.
AU - Morcego B.
AU - Puig V.
PY - 2010
SP - 544
EP - 551
DO - 10.5220/0002715805440551