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Titlebook: Advanced Fuzzy Logic Technologies in Industrial Applications; Ying Bai,Hanqi Zhuang,Dali Wang Book 2006 Springer-Verlag London 2006 Perfor

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期刊全稱Advanced Fuzzy Logic Technologies in Industrial Applications
影響因子2023Ying Bai,Hanqi Zhuang,Dali Wang
視頻videohttp://file.papertrans.cn/146/145614/145614.mp4
發(fā)行地址Describes the real-world uses of new fuzzy techniques to simplify readers’ tuning processes and enhance the performance of their control systems.Application examples drawn from a spectrum of advanced
學(xué)科分類Advances in Industrial Control
圖書封面Titlebook: Advanced Fuzzy Logic Technologies in Industrial Applications;  Ying Bai,Hanqi Zhuang,Dali Wang Book 2006 Springer-Verlag London 2006 Perfor
影響因子The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies , new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. In the mid-1960s and contemporary with Kalman’s pioneering papers on sta- space models and optimal control, L.A. Zadeh began publishing papers on “fuzzy sets”. It took another decade before the fuzzy-logic controller due to Mamdani and Assilion was reported in the literature (ca. 1974), and now the fuzzy-logic control paradigm is entering its fifth decade of development and application. Thus, this new Advances in Industrial Control monograph edited by Ying Bai, Hanqi Zhuang and Dali Wang on fuzzy-logic control and its practic
Pindex Book 2006
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Kompetenzmanagement in Organisationensults, we are exploring the application of type-2 FLCs to other control application such as the control of huge marine diesel engines and intelligent buildings. We are also exploring automatic learning techniques to learn the various parameters of the type-2 FLC online.
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,Bewertung des Humanverm?gens in der Bilanz,and a few outputs, a lookup table scheme could meet the need. In the other extreme, for a very high speed application with relative large number of inputs and output, a fuzzy ASIC solution could be the only choice. A system designer has to make a proper choice according to the applications and the cost/performance requirements.
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