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Titlebook: Data-Driven Controller Design; The H2 Approach Alexandre Sanfelice Bazanella,Lucíola Campestrini, Book 2012 Springer Science+Business Media

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發(fā)表于 2025-3-21 18:13:16 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Data-Driven Controller Design
副標(biāo)題The H2 Approach
編輯Alexandre Sanfelice Bazanella,Lucíola Campestrini,
視頻videohttp://file.papertrans.cn/264/263288/263288.mp4
概述The book will present simulation examples along the text.Practical applications of the concepts and methodologies will be presented in a specific chapter.The concepts in this book are being used, unde
叢書名稱Communications and Control Engineering
圖書封面Titlebook: Data-Driven Controller Design; The H2 Approach Alexandre Sanfelice Bazanella,Lucíola Campestrini, Book 2012 Springer Science+Business Media
描述.Data-Based Controller Design?presents a comprehensive analysis of data-based control design. It brings together the different data-based design methods that have been presented in the literature since the late 1990’s. To the best knowledge of the author, these data-based design methods have never been collected in a single text, analyzed in depth or compared to each other, and this severely limits their widespread application. In this book these methods will be presented under a common theoretical framework, which fits also a large family of adaptive control methods: the MRAC (Model Reference Adaptive Control) methods. This common theoretical framework has been developed and presented very recently...The book is primarily intended for PhD students and researchers - senior or junior - in control systems. It should serve as teaching material for data-based and adaptive control courses at the graduate level, as well as for reference material for PhD theses. It should also be useful for advanced engineers willing to apply data-based design. As a matter of fact, the concepts in this book are being used, under the author’s supervision, for developing new software products in a automatio
出版日期Book 2012
關(guān)鍵詞Adaptive Control; Control; Database
版次1
doihttps://doi.org/10.1007/978-94-007-2300-9
isbn_softcover978-94-017-8356-9
isbn_ebook978-94-007-2300-9Series ISSN 0178-5354 Series E-ISSN 2197-7119
issn_series 0178-5354
copyrightSpringer Science+Business Media B.V. 2012
The information of publication is updating

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,One-Shot Optimization—The VRFT Method,ut data collected from the system. It is possible in many situations to perform this minimization in only “one-shot”, that is, with only one batch of data collected in only one operating condition. These “one-shot” solutions, which are the most convenient, are the subject of Chap. 3. The . method (V
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Computations,tem—there is not an analytical expression of the cost function available. Each particular data-driven “brand” (like IFT, FDT and CbT) is characterized by a particular way of estimating the function’s derivatives from data. This computing aspect, namely the calculation of these quantities, is the sub
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Experimental Results,ental results showing the data-driven design of controllers for processes of different natures are presented: a thermal process, a motor speed control process and a liquid flow process. For each process various different control designs are performed, with different control objectives. In each desig
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David Hawkridge,John Jaworski,Harry McMahonideal controller regarding each control objective. The resulting similarities with the theory of system identification are discussed. Then the designer’s choices in choosing her/his performance criterion are examined under the light of these concepts, deriving guidelines for these choices.
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