Overview
- The first book dedicated to merging multiobjective optimization design (MOOD) procedures with controller tuning in a specific manner
- Provides the codes and scripts needed to replicate several of the results presented and includes a useful startup framework to incorporate MOOD procedures
- Presents several benchmark problems, facilitating the process of comparing algorithms
- Provides several real applications of the MOOD procedure for controller tuning
- Includes a holistic tutorial for MOOD procedures and guidelines for decision making
- Identifies potential directions of research regarding controller tuning in specific issues such as complexity, many-objective optimization, and multidisciplinary statements
- Includes supplementary material: sn.pub/extras
Part of the book series: Intelligent Systems, Control and Automation: Science and Engineering (ISCA, volume 85)
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About this book
This book is devoted to Multiobjective Optimization Design (MOOD) procedures for controller tuning applications, by means of Evolutionary Multiobjective Optimization (EMO). It presents developments in tools, procedures and guidelines to facilitate this process, covering the three fundamental steps in the procedure: problem definition, optimization and decision-making. The book is divided into four parts. The first part, Fundamentals, focuses on the necessary theoretical background and provides specific tools for practitioners. The second part, Basics, examines a range of basic examples regarding the MOOD procedure for controller tuning, while the third part, Benchmarking, demonstrates how the MOOD procedure can be employed in several control engineering problems. The fourth part, Applications, is dedicated to implementing the MOOD procedure for controller tuning in real processes.
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Keywords
Table of contents (12 chapters)
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Front Matter
Authors and Affiliations
Bibliographic Information
Book Title: Controller Tuning with Evolutionary Multiobjective Optimization
Book Subtitle: A Holistic Multiobjective Optimization Design Procedure
Authors: Gilberto Reynoso Meza, Xavier Blasco Ferragud, Javier Sanchis Saez, Juan Manuel Herrero Durá
Series Title: Intelligent Systems, Control and Automation: Science and Engineering
DOI: https://doi.org/10.1007/978-3-319-41301-3
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2017
Hardcover ISBN: 978-3-319-41299-3Published: 15 November 2016
Softcover ISBN: 978-3-319-82317-1Published: 23 June 2018
eBook ISBN: 978-3-319-41301-3Published: 04 November 2016
Series ISSN: 2213-8986
Series E-ISSN: 2213-8994
Edition Number: 1
Number of Pages: XIII, 227
Number of Illustrations: 41 b/w illustrations, 83 illustrations in colour
Topics: Control and Systems Theory, Computational Intelligence, Computational Mathematics and Numerical Analysis