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A multi-agent MPC architecture for distributed large scale systems

Author
Javalera, V.; Morcego, B.; Puig, V.
Type of activity
Presentation of work at congresses
Name of edition
2nd International Conference on Agents and Artificial Intelligence
Date of publication
2010
Book of congress proceedings
2nd International Conference on Agents and Artificial Intelligence (ICAART 2010): proceedings
First page
544
Last page
551
Publisher
INSTICC Press. Institute for Systems and Technologies of Information, Control and Communication
Repository
http://hdl.handle.net/2117/6878 Open in new window
URL
http://www.icaart.org Open in new window
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 archite...
Citation
Javalera, V.; Morcego, B.; Puig, V. A multi-agent MPC architecture for distributed large scale systems. A: 2nd International Conference on Agents and Artificial Intelligence. "2nd International Conference on Agents and Artificial Intelligence". Valencia: INSTICC Press. Institute for Systems and Technologies of Information, Control and Communication, 2010, p. 544-551.
Group of research
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Advanced Control Systems
SIC - Smart Control Systems

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