Controller Tuning Optimization Methods for Multi-Constraints and Nonlinear Systems: A Metaheuristic Approach: SpringerBriefs in Optimization
Autor Maude Josée Blondinen Limba Engleză Paperback – 7 ian 2021
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Specificații
ISBN-13: 9783030645403
ISBN-10: 3030645401
Pagini: 101
Ilustrații: X, 101 p. 27 illus., 20 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.17 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria SpringerBriefs in Optimization
Locul publicării:Cham, Switzerland
ISBN-10: 3030645401
Pagini: 101
Ilustrații: X, 101 p. 27 illus., 20 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.17 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria SpringerBriefs in Optimization
Locul publicării:Cham, Switzerland
Cuprins
1 Optimization algorithms in control systems.- 2 Controller tuning by metaheuristics optimization.- 3 Case studies.- 4 Future direction and research trends.
Notă biografică
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.
Caracteristici
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