| 書目名稱 | Fuzzy Logic, Identification and Predictive Control | | 編輯 | Jairo Espinosa,Joos Vandewalle,Vincent Wertz | | 視頻video | http://file.papertrans.cn/352/351290/351290.mp4 | | 概述 | For the first time in monograph form, the reader can learn the use of fuzzy models in predictive control.The reader will learn a novel approach to the construction of fuzzy models which compounds the | | 叢書名稱 | Advances in Industrial Control | | 圖書封面 |  | | 描述 | .Modern industrial processes and systems require adaptable advanced control protocols able to deal with circumstances demanding "judgement” rather than simple "yes/no”, "on/off” responses: circumstances where a linguistic description is often more relevant than a cut-and-dried numerical one. The ability of fuzzy systems to handle numeric and linguistic information within a single framework renders them efficacious for this purpose. ..Fuzzy Logic, Identification and Predictive Control. first shows you how to construct static and dynamic fuzzy models using the numerical data from a variety of real industrial systems and simulations. The second part exploits such models to design control systems employing techniques like data mining. ..This monograph?presents?a combination of fuzzy control theory and industrial serviceability that will make a telling contribution to your research whether in the academic or industrial sphere and also serves as a fine roundup of the fuzzy control area for the graduate student.. | | 出版日期 | Book 2005 | | 關(guān)鍵詞 | Control; Control Applications; Data Mining; Fuzzy Control; Fuzzy Modelling; Intelligent Control; Nonlinear | | 版次 | 1 | | doi | https://doi.org/10.1007/b138626 | | isbn_softcover | 978-1-84996-931-4 | | isbn_ebook | 978-1-84628-087-0Series ISSN 1430-9491 Series E-ISSN 2193-1577 | | issn_series | 1430-9491 | | copyright | Springer-Verlag London 2005 |
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