Hugendubel.info - Die B2B Online-Buchhandlung 

Merkliste
Die Merkliste ist leer.
Bitte warten - die Druckansicht der Seite wird vorbereitet.
Der Druckdialog öffnet sich, sobald die Seite vollständig geladen wurde.
Sollte die Druckvorschau unvollständig sein, bitte schliessen und "Erneut drucken" wählen.

Controller Tuning Optimization Methods for Multi-Constraints and Nonlinear Systems

A Metaheuristic Approach
BuchKartoniert, Paperback
101 Seiten
Englisch
Springererschienen am07.01.20211st ed. 2021
Students and researchers in engineering and optimization interested in optimization methods for controller tuning will utilize this book to apply optimization algorithms to controller tuning, to choose the most suitable optimization algorithm for a specific application, and to develop new optimization techniques for controller tuning.mehr
Verfügbare Formate
BuchKartoniert, Paperback
EUR26,74
E-BookPDF1 - PDF WatermarkE-Book
EUR64,19

Produkt

KlappentextStudents and researchers in engineering and optimization interested in optimization methods for controller tuning will utilize this book to apply optimization algorithms to controller tuning, to choose the most suitable optimization algorithm for a specific application, and to develop new optimization techniques for controller tuning.
Zusammenfassung
Overviews classical controller tuning methods, applications, and limitations

Features state-of-the-art optimization algorithms applied to controller tuning with performance comparisons

Provides insights for developing new optimization techniques
Details
ISBN/GTIN978-3-030-64540-3
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2021
Erscheinungsdatum07.01.2021
Auflage1st ed. 2021
ReiheSpringerBriefs in Optimization
Seiten101 Seiten
SpracheEnglisch
IllustrationenX, 101 p. 27 illus., 20 illus. in color.
Artikel-Nr.49067888

Inhalt/Kritik

Inhaltsverzeichnis
1 Optimization algorithms in control systems.- 2 Controller tuning by metaheuristics optimization.- 3 Case studies.- 4 Future direction and research trends.mehr

Schlagworte

Autor

Maude Blondin is an assistant professor at the Université de Sherbrooke in Canada. She graduated with a Ph.D. in Electrical Engineering from the Université du Québec à Trois-Rivières, where she obtained the prestigious Vanier Canada Graduate Scholarship. Her doctoral research was on computational intelligence methods and soft computing techniques applied to control engineering. Afterward, Dr. Blondin did postdoctoral research in the mechanical and aerospace engineering department at the University of Florida. She expanded her research interests to multiobjective optimization applied to multiagent control strategies. Her current research is driven by developing distributed multiobjective optimization algorithms based on exploring the Pareto Front and soft computing methods for multiagent systems. These algorithms are used in many applications ranging from managing energy to military uses to swarm robotics.