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Controller Tuning Optimization Methods for Multi-Constraints and Nonlinear Systems: A Metaheuristic Approach: SpringerBriefs in Optimization

Autor Maude Josée Blondin
en Limba Engleză Paperback – 7 ian 2021
This book covers controller tuning techniques from conventional to new optimization methods for diverse control engineering applications. Classical controller tuning approaches are presented with real-world challenges faced in control engineering. Current developments in applying optimization techniques to controller tuning are explained. Case studies of optimization algorithms applied to controller tuning dealing with nonlinearities and limitations like the inverted pendulum and the automatic voltage regulator are presented with performance comparisons. 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.
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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

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