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Titlebook: Controller Tuning Optimization Methods for Multi-Constraints and Nonlinear Systems; A Metaheuristic Appr Maude Josée Blondin Book 2021 Spri

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發(fā)表于 2025-3-21 19:18:38 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Controller Tuning Optimization Methods for Multi-Constraints and Nonlinear Systems
副標(biāo)題A Metaheuristic Appr
編輯Maude Josée Blondin
視頻videohttp://file.papertrans.cn/238/237491/237491.mp4
概述Overviews classical controller tuning methods, applications, and limitations.Features state-of-the-art optimization algorithms applied to controller tuning with performance comparisons.Provides insigh
叢書名稱SpringerBriefs in Optimization
圖書封面Titlebook: Controller Tuning Optimization Methods for Multi-Constraints and Nonlinear Systems; A Metaheuristic Appr Maude Josée Blondin Book 2021 Spri
描述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.
出版日期Book 2021
關(guān)鍵詞Controller tuning methods; Inverted cart-pendulum; Automatic voltage regulator system; Controller struc
版次1
doihttps://doi.org/10.1007/978-3-030-64541-0
isbn_softcover978-3-030-64540-3
isbn_ebook978-3-030-64541-0Series ISSN 2190-8354 Series E-ISSN 2191-575X
issn_series 2190-8354
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

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發(fā)表于 2025-3-21 23:31:52 | 只看該作者
Controller Tuning by Metaheuristics Optimization,verse engineering fields, including control. Indeed, their popularity has increased worldwide over the past three decades, which is substantiated by many new metaheuristics publications. There exist hundreds of metaheuristics. Consequently, selecting an optimization method to solve the problem at ha
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發(fā)表于 2025-3-22 03:45:26 | 只看該作者
Case Studies,e inverted cart-pendulum (ICP) and the automatic voltage regulator (AVR) systems. Literature surveys show that these systems’ control tuning has been intensively studied, but there is still control needs that metaheuristic optimization can fulfill. The principal features of metaheuristics for contro
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Controller Tuning by Metaheuristics Optimization,ogether with a general skeleton/framework that fits most metaheuristics. The general assets of metaheuristics are provided and some insight into how to select the most suitable method for the problem at hand. Two metaheuristics, GA and SA, are introduced as they are employed in the subsequent chapte
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Controller Tuning Optimization Methods for Multi-Constraints and Nonlinear SystemsA Metaheuristic Appr
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M?glichkeiten und Grenzen von Videositzungenamental control design challenges and common needs are highlighted. In particular, regardless of the controller structure, the latter has parameters to tune, in which tuning impacts control system performance. Optimization-based approaches for control tuning address this matter. Indeed, they have be
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