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Controller Tuning Optimization Methods for Multi-Constraints and Nonlinear Systems : A Metaheuristic Approach / by Maude Josée Blondin.

Springer Nature - Springer Mathematics and Statistics eBooks 2021 English International Available online

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Format:
Book
Author/Creator:
Blondin, Maude Josée, author.
Series:
SpringerBriefs in Optimization, 2191-575X
Language:
English
Subjects (All):
Mathematical optimization.
Calculus of variations.
Automatic control.
Numerical analysis.
Differential equations.
Calculus of Variations and Optimization.
Control and Systems Theory.
Numerical Analysis.
Differential Equations.
Local Subjects:
Calculus of Variations and Optimization.
Control and Systems Theory.
Numerical Analysis.
Differential Equations.
Physical Description:
1 online resource (X, 101 p. 27 illus., 20 illus. in color.)
Edition:
1st ed. 2021.
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2021.
Summary:
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.
Contents:
1 Optimization algorithms in control systems
2 Controller tuning by metaheuristics optimization
3 Case studies
4 Future direction and research trends.
ISBN:
3-030-64541-X

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