◎ Specific PhD Training
Predictive Control meets Evolutionary Game theory
The goal of this activity is to demonstrate how optimization-based control and evolutionary game theory are coordinated together in great harmony and synchronization, interacting with each other to obtain controller designs capable of improving the closed-loop performance of dynamic systems, in particular, large-scale systems. Key issues of control structure design in different topologies such as non-centralized (decentralized, distributed and hierarchical) schemes are proposed and discussed, and the implementation in simulation of some proposed solutions applied to engineering problems is presented.
PhD students in Computer Science and anyone interested in the subject matter of the course.
30 November to 2 December 2020
Issued by the organizers of the event
INSTRUCTIONS: Dr. Carlos Ocampo Martínez (Department of Automatic Control. Universidad Politécnica de Catalunya) and Dr. Nicanor Quijano (Universidad de los Andes, Colombia)