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Titlebook: Intelligent Control; A Hybrid Approach Ba Nazmul Siddique Book 2014 Springer International Publishing Switzerland 2014 Evolutionary Algorit

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發(fā)表于 2025-3-21 16:45:30 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Intelligent Control
副標題A Hybrid Approach Ba
編輯Nazmul Siddique
視頻videohttp://file.papertrans.cn/470/469539/469539.mp4
概述Includes supplementary material:
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: Intelligent Control; A Hybrid Approach Ba Nazmul Siddique Book 2014 Springer International Publishing Switzerland 2014 Evolutionary Algorit
描述.Intelligent Control. considers non-traditional modelling and control approaches to nonlinear systems. Fuzzy logic, neural networks and evolutionary computing techniques are the main tools used. The book presents a modular switching fuzzy logic controller where a PD-type fuzzy controller is executed first followed by a PI-type fuzzy controller thus improving the performance of the controller compared with a PID-type fuzzy controller.?The advantage of the switching-type fuzzy controller is that it uses one rule-base thus minimises the rule-base during execution. A single rule-base is developed by merging the membership functions for change of error of the PD-type controller and sum of error of the PI-type controller. Membership functions are then optimized using evolutionary algorithms. Since the two fuzzy controllers were executed in series, necessary further tuning of the differential and integral scaling factors of the controller is then performed. Neural-network-based tuning for the scaling parameters of the fuzzy controller is then described and finally an evolutionary algorithm is applied to the neurally-tuned-fuzzy controller in which the sigmoidal function shape of the neura
出版日期Book 2014
關鍵詞Evolutionary Algorithm; Fuzzy Control; Hybrid Systems; Intelligent Control; Neural Networks
版次1
doihttps://doi.org/10.1007/978-3-319-02135-5
isbn_softcover978-3-319-34348-8
isbn_ebook978-3-319-02135-5Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer International Publishing Switzerland 2014
The information of publication is updating

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1860-949X y logic, neural networks and evolutionary computing techniques are the main tools used. The book presents a modular switching fuzzy logic controller where a PD-type fuzzy controller is executed first followed by a PI-type fuzzy controller thus improving the performance of the controller compared wit
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Fuzzy Control,y, it improves the steady state error and reduces the rise time and settling time. Secondly, it reduces rule-base from n. to only n. . This chapter also investigates the integral windup action, which is an important issue in designing FLC with integral element.
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Control Systems,ment of the control variables and based on the measurement using suitable sensor mechanism, collocated an non-collocated control approaches have been suggested depending on the accuracy of the available models.
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