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Distributed MPC using reinforcement learning based negotiation: application to large scale systems

Author
Morcego, B.; Javalera, V.; Puig, V.; Vito, R.
Type of activity
Book chapter
Book
Distributed model predictive control made easy
First page
517
Last page
533
Publisher
Springer
Date of publication
2014
ISBN
978-94-007-7005-8 Open in new window
DOI
https://doi.org/10.1007/978-94-007-7006-5_31 Open in new window
URL
http://cataleg.upc.edu/record=b1435918~S1*cat Open in new window
Abstract
A systematic, practical, and accessible approach to distributed (and hierarchical) model predictive control (MPC) Provides step-by-step descriptions of computations/equations; theoretical results; and applications A consistent description of all approaches enables readers to assess the usefulness of these approaches for their respective applications The rapid evolution of computer science, communication, and information technology has enabled the application of control techniques to systems be...
Group of research
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Advanced Control Systems
SIC - Smart Control Systems

Participants