Isbn: 9780849337475 - fuzzy controller design: theory and applications (automation and control engineering) (20 Ergebnisse)

Zustand: Good. Volume 19. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,750grams, ISBN:9780849337475. …

Zustand: New. In.

Zustand: New.

Zustand: New.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 416 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Hardback. Zustand: New. Fuzzy control methods are critical for meeting the demands of complex nonlinear systems. They bestow robust, adaptive, and self-correcting character to complex systems that demand high stability and functionality beyond the capabilities of traditional methods. A thorough treatise on the theory of fuzzy logic control is out of place on the design bench. That is why Fuzzy Controller Design: Theory and Applications offers laboratory- and industry-tested algorithms, techniques, and formulations of real-world problems for immediate implementation.With surgical precision, the authors carefully select the fundamental elements of fuzzy logic control theory necessary to formulate effective and efficient designs. The book supplies a springboard of knowledge, punctuated with examples worked out in MATLAB®/SIMULINK®, from which newcomers to the field can dive directly into applications. It systematically covers the design of hybrid, adaptive, and self-learning fuzzy control structures along with strategies for fuzzy controller design suitable for on-line and off-line operation. Examples occupy an entire chapter, with a section devoted to the simulation of an electro-hydraulic servo system. The final chapter explores industrial applications with emphasis on techniques for fuzzy controller implementation and different implementation platforms for various applications.With proven methods based on more than a decade of experience, Fuzzy Controller Design: Theory and Applications is a concise guide to the methodology, design steps, and formulations for effective control solutions.…

Zustand: New. Reflecting the authors' experience in fuzzy control, this book describes the basic concepts for solving a great number of practical control problems. It focuses on hybrid, adaptive, and self-learning fuzzy control schemes that have proved to be superior in solving demanding nonlinear control problems. Series: Automation and Control Engineering. Num Pages: 416 pages, 410 black & white illustrations, 44 black & white tables. BIC Classification: TJFM. Category: (P) Professional & Vocational. Dimension: 229 x 152 x 27. Weight in Grams: 703. . 2005. 1st Edition. hardcover. . . . .…

Zustand: New.

Zustand: New. Zdenko Kovacic, Stjepan BogdanFuzzy control methods are critical for meeting the demands of complex nonlinear systems. They bestow robust, adaptive, and self-correcting character to complex systems that demand high stability and functionality beyond .

Zustand: As New. Unread book in perfect condition.

Hardback. Zustand: New. Fuzzy control methods are critical for meeting the demands of complex nonlinear systems. They bestow robust, adaptive, and self-correcting character to complex systems that demand high stability and functionality beyond the capabilities of traditional methods. A thorough treatise on the theory of fuzzy logic control is out of place on the design bench. That is why Fuzzy Controller Design: Theory and Applications offers laboratory- and industry-tested algorithms, techniques, and formulations of real-world problems for immediate implementation.With surgical precision, the authors carefully select the fundamental elements of fuzzy logic control theory necessary to formulate effective and efficient designs. The book supplies a springboard of knowledge, punctuated with examples worked out in MATLAB®/SIMULINK®, from which newcomers to the field can dive directly into applications. It systematically covers the design of hybrid, adaptive, and self-learning fuzzy control structures along with strategies for fuzzy controller design suitable for on-line and off-line operation. Examples occupy an entire chapter, with a section devoted to the simulation of an electro-hydraulic servo system. The final chapter explores industrial applications with emphasis on techniques for fuzzy controller implementation and different implementation platforms for various applications.With proven methods based on more than a decade of experience, Fuzzy Controller Design: Theory and Applications is a concise guide to the methodology, design steps, and formulations for effective control solutions.…

Zustand: New. Reflecting the authors' experience in fuzzy control, this book describes the basic concepts for solving a great number of practical control problems. It focuses on hybrid, adaptive, and self-learning fuzzy control schemes that have proved to be superior in solving demanding nonlinear control problems. Series: Automation and Control Engineering. Num Pages: 416 pages, 410 black & white illustrations, 44 black & white tables. BIC Classification: TJFM. Category: (P) Professional & Vocational. Dimension: 229 x 152 x 27. Weight in Grams: 703. . 2005. 1st Edition. hardcover. . . . . Books ship from the US and Ireland.…

Hardcover. Zustand: Brand New. 1st edition. 416 pages. 9.00x6.25x1.00 inches. In Stock.

Zustand: As New. Unread book in perfect condition.

Hardcover. Zustand: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Zustand: New. pp. xv + 397 Illus. This item is printed on demand.

Hardcover. Zustand: Brand New. 1st edition. 416 pages. 9.00x6.25x1.00 inches. In Stock. This item is printed on demand.

Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Reflecting the authors' broad experience in fuzzy control, this book describes the basic concepts for solving a great number of practical control problems. It focuses on hybrid, adaptive, and self-learning fuzzy control schemes that have proved to be superior in solving demanding nonlinear control problems. Every control algorithm described has been tested and verified on either a laboratory or industry process setup. The worked-out examples can form reliable starting points for the solution of other similar control problems. The book covers general topics in an easily understandable style and uses a case-by-case, method-by-method manner to move toward more complex nonlinear control problems.…