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Titlebook: An Introduction to Fuzzy Control; Dimiter Driankov,Hans Hellendoorn,Michael Reinfran Book 19931st edition Springer-Verlag Berlin Heidelber

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發(fā)表于 2025-3-21 19:11:30 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱An Introduction to Fuzzy Control
影響因子2023Dimiter Driankov,Hans Hellendoorn,Michael Reinfran
視頻videohttp://file.papertrans.cn/156/155265/155265.mp4
圖書封面Titlebook: An Introduction to Fuzzy Control;  Dimiter Driankov,Hans Hellendoorn,Michael Reinfran Book 19931st edition Springer-Verlag Berlin Heidelber
影響因子Fuzzy controllers are a class of knowledge based controllers using artificial intelligence techniques with origins in fuzzy logic to compute an appropriate control action. These fuzzy knowledge based controllers can be found either as stand-alone control elements or as integral parts of distributed control systems including conventional controllers in a wide range of industrial process control systems and consumer products. Applications of fuzzy controllers have become a well established practice for Japanese manufacturers of control equipment and systems, and are becoming more and more common for their European and American counterparts. The main aim of this book is to show that fuzzy control is not totally ad hoc, that there exist formal techniques for the analysis of a fuzzy controller, and that fuzzy control can be implemented even when no expert knowledge is available. Thus the book is mainly oriented toward control engineers and theorists rather than fuzzy and non-fuzzy AI people. However, parts can be read without any knowledge of control theory and may be of interest to AI people. The book has six chapters. Chapter 1 introduces two major classes of knowledge based systems f
Pindex Book 19931st edition
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FKBC Design Parameters, and membership function construction and representation. Furthermore, we discuss the relevance of the different design parameters with respect to the performance of a FKBC. Different design options for particular parameters are presented. Choice of membership functions, defuzzification methods, inf
地板
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Adaptive Fuzzy Control,changes, over time, or both. As conventional control schemes are linear, a controller can only be tuned to give good performance at a particular operating point or for a limited period of time. The controller needs to be retuned if the operating point changes, or retuned periodically if the process
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Stability of Fuzzy Control Systems,. The design of most of the existing FKBC has relied mainly on the process operator’s or control engineer’s experience based heuristic knowledge. Hence, the controller’s performance is very much dependent on how good this expertise is. Thus, from the control engineering point of view, the major effo
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Introduction,wledge which cannot he accommodated in the analytic model upon which the design of a control algorithm is based, and that is usually taken care of by manual modes of operation, or by other safety and ancillary logic mechanisms.
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Grunds?tze der Allgemeinbehandlungr and if . < . then you disagree. Thus, if you place a mark on an . scale, it might be distributed uniformly over the right half of the scale whenever . ≥ . and uniformly over the left half if . < .. Such a person is called a . person.
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https://doi.org/10.1007/978-3-322-85327-1l theory and engineering. In particular, stability analysis is of extreme importance, and the lack of satisfactory formal techniques for studying the stability of process control systems involving FKBC has been considered a major drawback of FKBC.
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