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Controller tuning optimization metho...

Blondin, Maude Josee.

Controller tuning optimization methods for multi-constraints and nonlinear systemsa metaheuristic approach /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Controller tuning optimization methods for multi-constraints and nonlinear systemsby Maude Josee Blondin.
Reminder of title:	a metaheuristic approach /
Author:	Blondin, Maude Josee.
Published:	Cham :Springer International Publishing :2021.
Description:	x, 101 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Control theoryMathematics.
Online resource:	https://doi.org/10.1007/978-3-030-64541-0
ISBN:	9783030645410$q(electronic bk.)

Controller tuning optimization methods for multi-constraints and nonlinear systemsa metaheuristic approach /
Blondin, Maude Josee.

Controller tuning optimization methods for multi-constraints and nonlinear systemsa metaheuristic approach /[electronic resource] :by Maude Josee Blondin. - Cham :Springer International Publishing :2021. - x, 101 p. :ill., digital ;24 cm. - SpringerBriefs in optimization,2190-8354. - SpringerBriefs in optimization..

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

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.

ISBN: 9783030645410$q(electronic bk.)

Standard No.: 10.1007/978-3-030-64541-0doiSubjects--Topical Terms:

569148
Control theory
--Mathematics.

LC Class. No.: QA402.3 / .B566 2021

Dewey Class. No.: 629.80151

Controller tuning optimization methods for multi-constraints and nonlinear systemsa metaheuristic approach /
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