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An Introduction to Fuzzy Control
Published by Springer, 1996
ISBN 10: 003025809X ISBN 13: 9780030258091
Seller: Once Upon A Time Books, Siloam Springs, AR, U.S.A.
Seller rating 4 out of 5 stars
Hardcover. Condition: Good. This is a used book in good condition and may show some signs of use or wear . This is a used book in good condition and may show some signs of use or wear .
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An Introduction to Fuzzy Control
Language: English
Published by Secaucus, New Jersey, U.S.A.: Sp, 1993
ISBN 10: 0387563628 ISBN 13: 9780387563626
hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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An Introduction to Fuzzy Control.; Second Revised Edition. With cooperation from Rainer Palm, Bruce Graham and Anibal Ollero. Foreword by Lennart Ljung
Seller: J. HOOD, BOOKSELLERS, ABAA/ILAB, Baldwin City, KS, U.S.A.
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Hardcover. As new, clean, tight & bright condition without dust jacket as published.
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Hardcover. Condition: Very Good. Minor shelf wear. Otherwise a tight, unmarked volume. Index. xv, 316 pp.
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An Introduction to Fuzzy Control
Language: English
Published by Secaucus, New Jersey, U.S.A.: Springer Verlag, 1993
ISBN 10: 0387563628 ISBN 13: 9780387563626
Hardcover. Condition: Fine. hardback in near fine condition. name on 1st blank page.
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Model Based Fuzzy Control: Fuzzy Gain Schedulers and Sliding Mode Fuzzy Controllers
Seller: Prior Books Ltd, Cheltenham, United Kingdom
Association Member: ABA ILAB PBFA
Seller rating 5 out of 5 stars
First Edition
Hardcover. Condition: Like New. First Edition. Hardback book in nearly new condition: clean and bright, firm and square, sharp corners, strong joints. Contents crisp and fresh, no pen-marks, just showing a small Department of Aerospace stamp at the endpaper. Overall: looks and feels unread. Pages: xiii, 184. Fully indexed. Model Based Fuzzy Control uses a given conventional or fuzzy open loop model of the plant under control to derive the set of fuzzy rules for the fuzzy controller. Of central interest are the stability, performance, and robustness of the resulting closed loop system. The major objective of model based fuzzy control is to use the full range of linear and nonlinear design and analysis methods to design such fuzzy controllers with better stability, performance, and robustness properties than non-fuzzy controllers designed using the same techniques. This objective has already been achieved for fuzzy sliding mode controllers and fuzzy gain schedulers - the main topics of this book. The primary aim of the book is to serve as a guide for the practitioner and to provide introductory material for courses in control theory.
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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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hardcover. Condition: Very Good. A hardback volume in Very Good condition. This book is in stock now, in our UK premises. Photos of our books are available on request (dustjacket and cover illustrations vary, and unless the image accompanying the listing is marked 'Bookseller Image', it is an Abebooks Stock Image, NOT our own). BUYERS OUTSIDE UK please also note the following: 1. shipping rates apply to packets of 750g and under, and should the packed weight of an item exceed this we reserve the right to ship via 'Economy', or request extra postage prior to fulfilling the order, or cancel 2. many countries apply import or other taxes - these are the buyers responsibility; we may ask for extra payment to cover any taxes which we have to pay 'up front' on the buyer's behalf.
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Condition: Used. pp. 344.
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Condition: Used. pp. 344 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
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Condition: As New. Unread book in perfect condition.
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Condition: Used. pp. 344.
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Fuzzy Model Identification: Selected Approaches
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
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Model Based Fuzzy Control: Fuzzy Gain Schedulers and Sliding Mode Fuzzy Controllers
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Model Based Fuzzy Control: Fuzzy Gain Schedulers and Sliding Mode Fuzzy Controllers
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Fuzzy Model Identification: Selected Approaches
Language: English
Published by Springer-Verlag 1997-01-01, 1997
ISBN 10: 3540627219 ISBN 13: 9783540627210
Paperback. Condition: New.
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Model Based Fuzzy Control : Fuzzy Gain Schedulers and Sliding Mode Fuzzy Controllers
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Model Based Fuzzy Control : Fuzzy Gain Schedulers and Sliding Mode Fuzzy Controllers
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Paperback. Condition: Brand New. 319 pages. French language. 9.50x6.50x0.75 inches. In Stock.
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Fuzzy Model Identification : Selected Approaches
Language: English
Published by Springer Berlin Heidelberg, 1997
ISBN 10: 3540627219 ISBN 13: 9783540627210
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - During the past few years two principally different approaches to the design of fuzzy controllers have emerged: heuristics-based design and model-based design. The main motivation for the heuristics-based design is given by the fact that many industrial processes are still controlled in one of the following two ways: - The process is controlled manually by an experienced operator. - The process is controlled by an automatic control system which needs manual, on-line 'trimming' of its parameters by an experienced operator. In both cases it is enough to translate in terms of a set of fuzzy if-then rules the operator's manual control algorithm or manual on-line 'trimming' strategy in order to obtain an equally good, or even better, wholly automatic fuzzy control system. This implies that the design of a fuzzy controller can only be done after a manual control algorithm or trimming strategy exists. It is admitted in the literature on fuzzy control that the heuristics-based approach to the design of fuzzy controllers is very difficult to apply to multiple-inputjmultiple-output control problems which represent the largest part of challenging industrial process control applications. Furthermore, the heuristics-based design lacks systematic and formally verifiable tuning tech niques. Also, studies of the stability, performance, and robustness of a closed loop system incorporating a heuristics-based fuzzy controller can only be done via extensive simulations.
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Paperback. Condition: Wie neu. 319 S. Engineering Technique Computer Science Informatik Ingenieurwesen Pages very good. Guter Zustand/ Good With ill. Ex-Library. gebraucht; gut Pages very good. Guter Zustand/ Good With ill. Ex-Library. ha1067144 Sprache: Englisch Gewicht in Gramm: 550.
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Taschenbuch. Condition: Neu. Fuzzy Model Identification | Selected Approaches | Hans Hellendoorn (u. a.) | Taschenbuch | xxi | Englisch | 1997 | Springer | EAN 9783540627210 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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An Introduction to Fuzzy Control
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£ 25.95 10% off
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Add to basketCondition: Sehr gut. Zustand: Sehr gut | Seiten: 336 | Sprache: Englisch | Produktart: Bücher | Fuzzy controllers are a class of knowledge based controllers using artificial intelligence techniques with origins in fuzzy logic. They can be found either as stand-alone control elements or as integral parts of a wide range of industrial process control systems and consumer products. Applications of fuzzy controllers are an established practice for Japanese manufacturers, and are spreading in Europe and America. 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. The book is mainly oriented to control engineers and theorists, although parts can be read without any knowledge of control theory and may interest AI people. This 2nd, revised edition incorporates suggestions from numerous reviewers and updates and reorganizes some of the material.
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Add to basketCondition: Sehr gut. Zustand: Sehr gut | Seiten: 344 | Sprache: Englisch | Produktart: Bücher | During the past few years two principally different approaches to the design of fuzzy controllers have emerged: heuristics-based design and model-based design. The main motivation for the heuristics-based design is given by the fact that many industrial processes are still controlled in one of the following two ways: - The process is controlled manually by an experienced operator. - The process is controlled by an automatic control system which needs manual, on-line 'trimming' of its parameters by an experienced operator. In both cases it is enough to translate in terms of a set of fuzzy if-then rules the operator's manual control algorithm or manual on-line 'trimming' strategy in order to obtain an equally good, or even better, wholly automatic fuzzy control system. This implies that the design of a fuzzy controller can only be done after a manual control algorithm or trimming strategy exists. It is admitted in the literature on fuzzy control that the heuristics-based approach to the design of fuzzy controllers is very difficult to apply to multiple-inputjmultiple-output control problems which represent the largest part of challenging industrial process control applications. Furthermore, the heuristics-based design lacks systematic and formally verifiable tuning tech niques. Also, studies of the stability, performance, and robustness of a closed loop system incorporating a heuristics-based fuzzy controller can only be done via extensive simulations.
