Negotiation and learning in distributed MPC of large scale systems
Tipus de documentText en actes de congrés
Data publicació2010
EditorIEEE Press. Institute of Electrical and Electronics Engineers
Condicions d'accésAccés obert
Llevat que s'hi indiqui el contrari, els
continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
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.
CitacióJavalera, V.; Morcego, B.; Puig, V. Negotiation and learning in distributed MPC of large scale systems. A: American Control Conference. "Proceedings of the 2010 American Control Conference". Baltimore: IEEE Press. Institute of Electrical and Electronics Engineers, 2010, p. 3168-3173.
ISBN978-1-4244-7425-7
Versió de l'editorhttp://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=05530986
Col·leccions
- IRI - Institut de Robòtica i Informàtica Industrial, CSIC-UPC - Ponències/Comunicacions de congressos [576]
- Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial - Ponències/Comunicacions de congressos [1.500]
- SIC - Sistemes Intel·ligents de Control - Ponències/Comunicacions de congressos [155]
- SAC - Sistemes Avançats de Control - Ponències/Comunicacions de congressos [582]
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