Controller Tuning with Evolutionary Multiobjective Optimization
A Holistic Multiobjective Optimization Design Procedure
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Beschreibung
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.
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.
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
Autor*in
Gilberto Reynoso Meza
Themen in »Controller Tuning with Evolutionary Multiobjective Optimization«
Controller Tuning Decision Making Evolutionary Multiobjective Optimization MOOD Multiobjective Optimization Design Procedure Multiobjective Problems