Overview
- First thorough and unified treatment of fuzzy modeling and fuzzy control that provides necessary tools for the control of complex nonlinear systems
- Technology based on fuzzy logic methodology has many pratical applications, especially in the area of consumer products
- Excellent reference volume for control, electrical, computer, chemical, industrial, civil, manufacturing and aeronautical engineers; computer scientists; applied mathematicians; and physical scientists
- Textbook for a graduate course in electrial engineering, computer engineering, or computer science
Part of the book series: Control Engineering (CONTRENGIN)
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Table of contents (13 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Fuzzy logic methodology has been proven effective in dealing with complex nonlinear systems containing uncertainties that are otherwise difficult to model. Technology based on this methodology has been applied to many real-world problems, especially in the area of consumer products. This book presents the first unified and thorough treatment of fuzzy modeling and fuzzy control, providing necessary tools for the control of complex nonlinear systems. Careful consideration is given to questions concerning model complexity, model precision, and computing time.
In addition to being an excellent reference for electrical, computer, chemical, industrial, civil, manufacturing, mechanical and aeronautical engineers, the book may also be appropriate for classroom use in a graduate course in electrical engineering, computer engineering, and computer science. Applied mathematicians, control engineers, computer scientists, and physicists will benefit from the presentation as well.
Reviews
From the reviews:
"Of the books on fuzzy control I have had a chance to study, this one ranks among the best. It can be recommended as a textbook for an advanced course in fuzzy control. Moreover, researchers as well as practitioners in the field of control will definitely profit from the book."
—SIAM Review
"After introducing some basic concepts and terminologies of fuzzy theory, the authors provide a systematic discussion about fundamental methodologies of fuzzy modeling and fuzzy control of complex nonlinear systems with uncertainty. This book is well written. All concepts and terminologies are carefully defined and explained. … The book is aimed at graduate students and researchers in electrical engineering, computer engineering, computer science, physical sciences, and any of the engineering disciplines." (Peihua Qiu, Technometrics, Vol. 50 (3), August, 2008)
"This book presents a systematic framework targeting at fuzzy modeling and fuzzy control of nonlinear systems with uncertainties. ... [It] is a valuable resource for those researchers and practitioners interested in expanding their knowledge from fuzzy logic and application to nonlinear dynamical systems. It discusses a currently very active research topic and provides an excellent extension to a graduate course in nonlinear dynamic systems or fuzzy modeling and control. ... Professor Zhang and Professor Liu have made important research contributions in the area of fuzzy modeling and fuzzy control.”
--IEEE Computational Intelligence Magazine
Authors and Affiliations
Bibliographic Information
Book Title: Fuzzy Modeling and Fuzzy Control
Authors: Huaguang Zhang, Derong Liu
Series Title: Control Engineering
DOI: https://doi.org/10.1007/978-0-8176-4539-7
Publisher: Birkhäuser Boston, MA
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Birkhäuser Boston 2006
Hardcover ISBN: 978-0-8176-4491-8Published: 26 September 2006
eBook ISBN: 978-0-8176-4539-7Published: 17 October 2007
Series ISSN: 2373-7719
Series E-ISSN: 2373-7727
Edition Number: 1
Number of Pages: XVI, 416
Topics: Control and Systems Theory, Control, Robotics, Mechatronics, Systems Theory, Control, Mathematical Modeling and Industrial Mathematics, Vibration, Dynamical Systems, Control, Electrical Engineering