Overview
- Nominated as an outstanding PhD thesis by the Control Engineering group of the Comité Español de Automática (CEA)
- Discusses improvements to classical population game approaches
- Demonstrates the ability of the new methods to better control large-scale systems
- Offers a comprehensive review of model predictive controllers and game-theoretical approaches applied to engineering problems
Part of the book series: Springer Theses (Springer Theses)
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Table of contents (10 chapters)
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Front Matter
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Preliminaries
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Front Matter
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The Role of Games in the Design of Controllers
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Front Matter
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Large-Scale Systems Partitioning in Control
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Front Matter
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Concluding Remarks
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Front Matter
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Back Matter
Keywords
- Applications of Evolutionary Game Theory
- Population Games
- Density Games
- Nash Equilibria
- Cooperative Games
- Constrained Information Sharing
- Coalitional Games
- Local Controllers
- Shapley Power Index
- Distributed Communication Networks
- Distributed Control
- Model Predictive Control
- Dynamical Tuning
- Large-scale Systems
- MPC Controllers
- Evolutionary Dynamics
- Evolutionary Games
- Engineering Economics
About this book
This book reports on the implementation of evolutionary-game theory in the design of distributed optimization-based controllers. First, it discusses how the classical population-game approach can contribute to and complement the design of optimization-based controllers. It shows how the features of this approach can be exploited to extend their capabilities in the solution of distributed optimization problems, and examines density games in order to consider multiple coupled constraints and preserve the non-centralized information requirements. Furthermore, it establishes a close relationship between the possible interactions among agents in a population with constrained information sharing among different local controllers. It also discusses coalitional games, focusing on the Shapley power index and proposes an alternative method of computing the latter, which reduces computational time, as well as a different way of finding it using distributed communication structures. All the proposed strategies are then tested on various control problems, such as those related to the Barcelona water supply network, multiple continuous stirred tank reactors, various unmanned aerial vehicle systems, and a water distribution system. This thesis, examined at the Universitat Politècnica de Catalunya and Universidad de los Andes in 2017, received the award for best thesis in control from the control group of the Spanish Committee of Automatic Control (CEA) in the same year.
Authors and Affiliations
Bibliographic Information
Book Title: The Role of Population Games in the Design of Optimization-Based Controllers
Book Subtitle: A Large-scale Insight
Authors: Julian Barreiro-Gomez
Series Title: Springer Theses
DOI: https://doi.org/10.1007/978-3-319-92204-1
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2019
Hardcover ISBN: 978-3-319-92203-4Published: 09 August 2018
Softcover ISBN: 978-3-030-06384-9Published: 20 December 2018
eBook ISBN: 978-3-319-92204-1Published: 01 August 2018
Series ISSN: 2190-5053
Series E-ISSN: 2190-5061
Edition Number: 1
Number of Pages: XXIX, 201
Number of Illustrations: 6 b/w illustrations, 55 illustrations in colour
Topics: Control and Systems Theory, Game Theory, Economics, Social and Behav. Sciences, Communications Engineering, Networks, Engineering Economics, Organization, Logistics, Marketing