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Titlebook: Fractional-order Systems and PID Controllers; Using Scilab and Cur Kishore Bingi,Rosdiazli Ibrahim,Vivekananda Rajah Book 2020 Springer Na

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書(shū)目名稱(chēng)Fractional-order Systems and PID Controllers
副標(biāo)題Using Scilab and Cur
編輯Kishore Bingi,Rosdiazli Ibrahim,Vivekananda Rajah
視頻videohttp://file.papertrans.cn/348/347424/347424.mp4
概述Presents a detailed study on fractional-order-based PID control strategies and the development of curve-fitting-based approximation techniques for fractional-order parameters.Provides real-time exampl
叢書(shū)名稱(chēng)Studies in Systems, Decision and Control
圖書(shū)封面Titlebook: Fractional-order Systems and PID Controllers; Using Scilab and Cur Kishore Bingi,Rosdiazli Ibrahim,Vivekananda Rajah  Book 2020 Springer Na
描述This book presents a detailed study on fractional-order, set-point, weighted PID control strategies and the development of curve-fitting-based approximation techniques for fractional-order parameters. Furthermore, in all the cases, it includes the Scilab-based commands and functions for easy implementation and better understanding, and to appeal to a wide range of readers working with the software. The presented Scilab-based toolbox is the first toolbox for fractional-order systems developed in open-source software. The toolboxes allow time and frequency domains as well as stability analysis of the fractional-order systems and controllers. The book also provides real-time examples of the control of process plants using the developed fractional-order based PID control strategies and the approximation techniques. The book is of interest to readers in the areas of fractional-order controllers, approximation techniques, process modeling, control, and optimization, both in industry and academia. In industry, the book is particularly valuable in the areas of research and development (R&D) as well as areas where PID controllers suffice – and it should be noted that around 80% of low-level
出版日期Book 2020
關(guān)鍵詞Fractional-order PID Controller; Set-point Weighting; Process Control; Curve Fitting; Matlab and Scilab
版次1
doihttps://doi.org/10.1007/978-3-030-33934-0
isbn_softcover978-3-030-33936-4
isbn_ebook978-3-030-33934-0Series ISSN 2198-4182 Series E-ISSN 2198-4190
issn_series 2198-4182
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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