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Título:
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A multi-agent MPC architecture for distributed large scale systems
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Autor/a:
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Javalera Rincón, Valeria; Morcego Seix, Bernardo; Puig Cayuela, Vicenç
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Otros autores:
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Institut de Robòtica i Informàtica Industrial; Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial; Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control |
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Abstract:
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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. |
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Materia(s):
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-Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial
-Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Agents intel·ligents
-Artificial intelligence
-Intelligence agents
-Intel·ligència artificial
-Classificació INSPEC::Pattern recognition |
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Derechos:
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Tipo de documento:
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Artículo - Versión publicada
Objeto de conferencia |
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Editor:
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INSTICC Press. Institute for Systems and Technologies of Information, Control and Communication
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Compartir:
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