Computational Intelligence and Optimization Methods for Control Engineering



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Springer


Paru le : 2019-09-20



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Description

Ce volume présente quelques développements récents et principaux liés à l'intelligence computationnelle et aux méthodes d'optimisation dans le contrôle. Les aspects théoriques et les applications pratiques de la technique de régulation font l'objet de 14 contributions autonomes. Parmi les autres joyaux, mentionnons la discussion sur les orientations futures et les perspectives de recherche conçues pour aider le lecteur à mieux comprendre à la fois les défis auxquels est confronté le génie des commandes et la compréhension de l'élaboration de nouvelles techniques. Avec les connaissances acquises, les lecteurs sont encouragés à déterminer la méthode de contrôle appropriée pour des applications spécifiques.

Pages
355 pages
Collection
n.c
Parution
2019-09-20
Marque
Springer
EAN papier
9783030254452
EAN PDF
9783030254469

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
35
Taille du fichier
15350 Ko
Prix
126,59 €
EAN EPUB
9783030254469

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
35
Taille du fichier
39178 Ko
Prix
126,59 €

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.

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