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Controller tuning optimization methods for multi-constraints and nonlinear systems: a metaheuristic approach

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 techni...

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Detalles Bibliográficos
Autor principal: Blondin, Maude Josée
Lenguaje:eng
Publicado: Springer 2021
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-030-64541-0
http://cds.cern.ch/record/2750135
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author Blondin, Maude Josée
author_facet Blondin, Maude Josée
author_sort Blondin, Maude Josée
collection CERN
description 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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spelling cern-27501352021-04-21T16:43:57Zdoi:10.1007/978-3-030-64541-0http://cds.cern.ch/record/2750135engBlondin, Maude JoséeController tuning optimization methods for multi-constraints and nonlinear systems: a metaheuristic approachMathematical Physics and MathematicsThis 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.Springeroai:cds.cern.ch:27501352021
spellingShingle Mathematical Physics and Mathematics
Blondin, Maude Josée
Controller tuning optimization methods for multi-constraints and nonlinear systems: a metaheuristic approach
title Controller tuning optimization methods for multi-constraints and nonlinear systems: a metaheuristic approach
title_full Controller tuning optimization methods for multi-constraints and nonlinear systems: a metaheuristic approach
title_fullStr Controller tuning optimization methods for multi-constraints and nonlinear systems: a metaheuristic approach
title_full_unstemmed Controller tuning optimization methods for multi-constraints and nonlinear systems: a metaheuristic approach
title_short Controller tuning optimization methods for multi-constraints and nonlinear systems: a metaheuristic approach
title_sort controller tuning optimization methods for multi-constraints and nonlinear systems: a metaheuristic approach
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-030-64541-0
http://cds.cern.ch/record/2750135
work_keys_str_mv AT blondinmaudejosee controllertuningoptimizationmethodsformulticonstraintsandnonlinearsystemsametaheuristicapproach