عنوان
پدید آورنده
موضوع
رده
کتابخانه
محل استقرار
INTERNATIONAL STANDARD BOOK NUMBER
(Number (ISBN
0817644911
(Number (ISBN
9780817644918
NATIONAL BIBLIOGRAPHY NUMBER
Number
b522781
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Fuzzy modeling and fuzzy control /
General Material Designation
[Book]
First Statement of Responsibility
Huaguang Zhang, Derong Liu
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Boston :
Name of Publisher, Distributor, etc.
Birkhäuser,
Date of Publication, Distribution, etc.
[2006]
Date of Publication, Distribution, etc.
©2006
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 online resource (xiii, 416 pages) :
Other Physical Details
illustrations.
SERIES
Series Title
Control engineering
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references and index
CONTENTS NOTE
Text of Note
Fuzzy Set Theory and Rough Set Theory -- Identification of the Takagi-Sugeno Fuzzy Model -- Fuzzy Model Identification Based on Rough Set Data Analysis -- Identification of the Fuzzy Hyperbolic Model -- Basic Methods of Fuzzy Inference and Control -- Fuzzy Inference and Control Methods Involving Two Kinds of Uncertainties -- Fuzzy Control Schemes via a Fuzzy Performance Evaluator -- Multivariable Predictive Control Based on the T-S Fuzzy Model -- Adaptive Control Methods Based on Fuzzy Basis Function Vectors -- Controller Design Based on the Fuzzy Hyperbolic Model -- Fuzzy H? Filter Design for Nonlinear Discrete-Time Systems with Multiple Time-Delays -- Chaotification of the Fuzzy Hyperbolic Model -- Feedforward Fuzzy Control Approach Using the Fourier Integral
0
SUMMARY OR ABSTRACT
Text of Note
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. Based on three types of fuzzy models--the Mamdani fuzzy model, the Takagi-Sugeno fuzzy model, and the fuzzy hyperbolic model--the book addresses a number of important issues in fuzzy control systems, including fuzzy modeling, fuzzy inference, stability analysis, systematic design frameworks, robustness, and optimality. The authors develop several advanced control schemes, such as the fuzzy model-based generalized predictive control scheme, the fuzzy adaptive control scheme based on fuzzy basis function vectors, the fuzzy control scheme based on fuzzy performance evaluators, and the fuzzy sliding-mode control scheme. 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
SYSTEM REQUIREMENTS NOTE (ELECTRONIC RESOURCES)
Text of Note
Mode of access: World Wide Web
OTHER EDITION IN ANOTHER MEDIUM
Title
Fuzzy modeling and fuzzy control.
International Standard Book Number
0817644911
PIECE
Title
OhioLINK electronic book center
Title
SpringerLink
TOPICAL NAME USED AS SUBJECT
Control theory.
Fuzzy systems.
Intelligent control systems.
PERSONAL NAME - PRIMARY RESPONSIBILITY
Zhang, Huaguang,1959-
PERSONAL NAME - ALTERNATIVE RESPONSIBILITY
Liu, Derong,1963-
CORPORATE BODY NAME - ALTERNATIVE RESPONSIBILITY
Ohio Library and Information Network.
ORIGINATING SOURCE
Date of Transaction
20080619125843.0
Cataloguing Rules (Descriptive Conventions))
rda
ELECTRONIC LOCATION AND ACCESS
Electronic name
مطالعه متن کتاب [Book]
Y
