Ancien livre de biblioth�que. Edition 1993. Ammareal reverse jusqu'� 15% du prix net de cet article � des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 1993. Ammareal gives back up to 15% of this item's net price to charity organizations.

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Bibliografische Details

Titel: An Introduction to Fuzzy Control
Verlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Ver�ffentlichungsdatum: 1993
Sprache: Englisch
ISBN-10: 3540563628
ISBN-13: 9783540563624
Bindung: Hardcover
Zustand: Tr�s bon

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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 that formal techniques exist for the analysis of a fuzzy controller, and that fuzzy control can be implemented when no expert knowledge is available. Chapter 1 introduces two major classes of knowledge based systems for closed loop control. Chapter 2 introduces relevant parts of fuzzy set theory and fuzzy logic. Chapter 3 introduces the principal design parameters of a fuzzy knowledge based controller (FKBC) and discusses their relevance with respect to its performance. Chapter 4 considers an FKBC as a particular type of nonlinear controller. Chapter 5 considers tuning and adaptation of FKBCs, which are nonlinear and so can be designed to cope with a certain amount of nonlinearity. Chapter 6 considers several approaches for stability analysis of FKBCs in the context of classical nonlinear dynamic systems theory.

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