Controller Tuning with Evolutionary Multiobjective Optimization
Controller Tuning with Evolutionary Multiobjective Optimization: A Holistic Multiobjective Optimization Design Procedure
Springer | Control Engineering | December 3, 2016 | ISBN-10: 331941299X | 227 pages | pdf | 17.24 mb
Springer | Control Engineering | December 3, 2016 | ISBN-10: 331941299X | 227 pages | pdf | 17.24 mb
Authors: Reynoso Meza, G., Blasco Ferragud, X., Sanchis Saez, J., Herrero Durá, J.M.
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
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.
Number of Pages
XIII, 227
Number of Illustrations and Tables
41 b/w illustrations, 83 illustrations in colour
Topics
Control
Computational Intelligence
Computational Mathematics and Numerical Analysis
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