Computational Intelligence and Optimization Methods for Control Engineering (Springer Optimization and Its Applications)

ISBN 10: 3030254488 / ISBN 13: 9783030254483

Edité par Springer, 2020

A propos de cet article

New.

N° de réf. du vendeur ERICA77330302544886

Détails bibliographiques

• Titre: Computational Intelligence and Optimization Methods for Control Engineering (Springer Optimization and Its Applications)
• Éditeur: Springer
• Date de parution: 2020
• Langue: anglais
• ISBN à 10 chiffres: 3030254488
• ISBN à 13 chiffres: 9783030254483
• Reliure: Paperback
• État de l'article: New
• Type de livre: book

A propos de ce titre

Synopsis

This volume presents some recent and principal developments related to computational intelligence and optimization methods in control. Theoretical aspects and practical applications of control engineering are covered by 14 self-contained contributions. Additional gems include the discussion of future directions and research perspectives designed to add to the reader’s understanding of both the challenges faced in control engineering and the insights into the developing of new techniques. With the knowledge obtained, readers are encouraged to determine the appropriate control method for specific applications.

À propos de l?auteur

Maude Blondin graduated with a PhD in Electrical Engineering from the Université du Québec à Trois-Rivières, where she obtained the prestigious Vanier Canada Graduate Scholarship. During her PhD, she did a six-month internship at the Universidad Politecnica de Valencia, under the supervision of Javier Sanchis Saez. She moved to Florida to work in close collaboration with her PhD co-advisor, Panos M. Pardalos. Her doctoral research was on computational intelligence methods, and soft computing techniques applied to control engineering. Dr. Blondin is currently a postdoctoral researcher in the mechanical and aerospace engineering department at the University of Florida. She is expanding her research interests to the use of multiobjective optimization applied to multiagent control strategies. ​

Panos M. Pardalos serves as distinguished professor of industrial and systems engineering at the University of Florida. Additionally, he is the Paul andHeidi Brown Preeminent Professor of industrial and systems engineering. Pardalos is also an affiliated faculty member of the computer and information science department, the Hellenic Studies Center, and the biomedical engineering program. Additionally, he serves as the director of the Center for Applied Optimization. Pardalos is a world leading expert in global and combinatorial optimization. His recent research interests include network design problems, optimization in telecommunications, e-commerce, data mining, biomedical applications, and massive computing. Pardalos is a prolific author who lectures all over the world. He is the recipient of a multitude of fellowships and awards, the most recent of which is the Humboldt Research Award (2018).

Javier Sanchis Sáez received his B.Sc. (1993) and Ph.D. (2002) in Computer Science from Universidad Politécnica de Valencia (Spain). He is a professor in the Department of Systems Engineering and Control ofthe same university. His main research interests are multivariable predictive control, process optimisation and computational intelligence methods for control engineering. Professor Sanchis is co-author of Controller Tuning with Evolutionary Multiobjective Optimization (Springer, 2017) and is the author of more than fifty research papers on integration of computational intelligence methods with control engineering.