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Hardcover. Condición: 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 .

Hardcover. As new, clean, tight & bright condition without dust jacket as published.

Hardcover. Condición: Very Good. Minor shelf wear. Otherwise a tight, unmarked volume. Index. xv, 316 pp.

hardcover. Condición: 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.

Hardcover. Condición: Fine. hardback in near fine condition. name on 1st blank page.

Hardcover. Condición: 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. …

Condición: good. A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail.…

Condición: 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.

Condición: 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.

Condición: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Condición: 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.

Condición: Used. pp. 344.

Condición: 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.

Hardcover. Condición: Very Good. Immediate dispatch from Somerset. Nice book in great condition. Pages in excellent condition. Hardcover. English. See images for condition. About the book >.>.> In both cases it is enough to translate the operator's manual control algorithm in terms of a set of fuzzy if-then rules in order to obtain an equally good. or an even better, wholy automatic control system incorporating an FLC. This implies that the design of an FLC can only be done after a "control algorithm" already exists. In the first case, the existing control algorithm may consist of sequential and/or parallel manual control actions performed by the operator upon a process whose mathematical model is either impossible to derive or of neg-ligible utility for cost related reasons. In this case the FLC simply makes explicit the existing manual control knowledge, and consequently automates the use of this knowledge thus becoming a part of the closed loop system. In the second case, the existing control algorithm is a conventional control algorithm in need of additional manual "trimming". An FLC is then again used to automate the manual "trimming" algorithm employed by the oper-ator and thus acts as a supervisor.…

Condición: New.

Condición: Used. pp. 344.

Condición: As New. Unread book in perfect condition.

Condición: New. In English.

Condición: New. In English.

Condición: New. In English.

Condición: 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.

Condición: New.

Condición: New.

Condición: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.

Condición: As New. Unread book in perfect condition.

Paperback. Condición: Brand New. 319 pages. French language. 9.50x6.50x0.75 inches. In Stock.

Condición: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.…

Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.…

Taschenbuch. Condición: 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.…