Controller Tuning with Evolutionary Multiobjective Optimization

Gilberto Reynoso Meza

ISBN 10: 3319823175 / ISBN 13: 9783319823171

Published by Springer International Publishing Jun 2018, 2018

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -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. 244 pp. Englisch.

Seller Inventory # 9783319823171

Bibliographic Details

• Title: Controller Tuning with Evolutionary Multiobjective Optimization
• Publisher: Springer International Publishing Jun 2018
• Publication Date: 2018
• Language: English
• ISBN 10: 3319823175
• ISBN 13: 9783319823171
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

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.