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Title: | Negotiation and learning in distributed MPC of large scale systems |
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Author: | Javalera Rincón, Valeria; Morcego Seix, Bernardo; Puig Cayuela, Vicenç |
Other authors: | Institut de Robòtica i Informàtica Industrial; Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial; Universitat Politècnica de Catalunya. SIC - Sistemes Intel·ligents de Control; Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control |
Abstract: | A key issue in distributed MPC control of Large Scale Systems (LSS) is how shared variables among the different MPC controller in charge of controlling each system partition (subsystems) are handled. When these connections represent control variables, the distributed control has to be consistent for both subsystems and the optimal value of these variables will have to accomplish a common goal. In order to achieve this, the present work combines ideas from Distributed Artificial Intelligence (DAI), Reinforcement Learning (RL) and Model Predictive Control (MPC) in order to provide an approach based on negotiation, cooperation and learning techniques. Results of the application of this approach to a small drinking water network show that the resulting trajectories of the levels in tanks (control variables) can be acceptable compared to the centralized solution. The application to a real network (the Barcelona case) is currently under development. |
Abstract: | Peer Reviewed |
Subject(s): | -Àrees temàtiques de la UPC::Economia i organització d'empreses::Gestió i direcció -Production management -predictive control PARAULES AUTOR:cooperative systems -distributed control -model predictive control -multi agent systems -negotiation -reinforcement learning -Producció -- Direcció i administració -Classificació INSPEC::Control theory::Predictive control |
Rights: | Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Document type: | Article - Submitted version Conference Object |
Published by: | IEEE Press. Institute of Electrical and Electronics Engineers |
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