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Dynamical tuning for MPC using population games: a water supply network application

Author
Barreiro, J.; Ocampo-Martinez, C.A.; Quijano, N.
Type of activity
Journal article
Journal
ISA transactions
Date of publication
2017-07-01
Volume
69
First page
175
Last page
186
DOI
https://doi.org/10.1016/j.isatra.2017.03.027 Open in new window
Repository
http://hdl.handle.net/2117/108959 Open in new window
URL
http://www.sciencedirect.com/science/article/pii/S0019057816303275?via%3Dihub Open in new window
Abstract
Model predictive control (MPC) is a suitable strategy for the control of large-scale systems that have multiple design requirements, e.g., multiple physical and operational constraints. Besides, an MPC controller is able to deal with multiple control objectives considering them within the cost function, which implies to determine a proper prioritization for each of the objectives. Furthermore, when the system has time-varying parameters and/or disturbances, the appropriate prioritization might v...
Citation
Barreiro, J., Ocampo-Martinez, C.A., Quijano, N. Dynamical tuning for MPC using population games: a water supply network application. "ISA transactions", 1 Juliol 2017, vol. 69, p. 175-186.
Keywords
Dynamical tuning, Game theory, Large-scale systems, Model predictive control, Water supply networks
Group of research
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Advanced Control Systems

Participants