INTRODUCTION TO FUZZY SYSTEMS

Introduction to Fuzzy Systems provides students with a self-contained introduction that requires no preliminary knowledge of fuzzy mathematics and fuzzy control systems theory. Simplified and readily accessible, it encourages both classroom and self-directed learners to build a solid foundation in f...

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Bibliographic Details
Main Authors: Chen, Guanrong (Author), Pham, Trung Tat (Author)
Format: Book
Language:English
Published: Boca Raton, FL Chapman & Hall/CRC 2006
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Online Access:Click Here to View Status and Holdings.
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245 1 0 |a INTRODUCTION TO FUZZY SYSTEMS  |c Guanrong Chen, Trung Tat Pham 
264 # 1 |a Boca Raton, FL  |b Chapman & Hall/CRC  |c 2006 
264 # 4 |c ©2006 
300 # # |a xiii, 315 pages  |b illustrations  |c 25 cm 
336 # # |a text  |2 rdacontent 
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338 # # |a volume  |2 rdacarrier 
504 # # |a Includes bibliographical references (pages [289]-290) and index 
520 # # |a Introduction to Fuzzy Systems provides students with a self-contained introduction that requires no preliminary knowledge of fuzzy mathematics and fuzzy control systems theory. Simplified and readily accessible, it encourages both classroom and self-directed learners to build a solid foundation in fuzzy systems. After introducing the subject, the authors move directly into presenting real-world applications of fuzzy logic, revealing its practical flavor. This practicality is then followed by basic fuzzy systems theory. The book also offers a tutorial on fuzzy control theory, based mainly on the well-known classical Proportional-Integral-Derivative (PID) controllers theory and design methods. In particular, the text discusses fuzzy PID controllers in detail, including a description of the new notion of generalized verb-based fuzzy-logic control theory. Introduction to Fuzzy Systems is primarily designed to provide training for systems and control majors, both senior undergraduate and first year graduate students, to acquaint them with the fundamental mathematical theory and design methodology required to understand and utilize fuzzy control systems. 
650 # 0 |a Fuzzy systems 
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700 1 # |a Pham, Trung Tat  |e author 
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