A course in fuzzy systems and control / Li-Xin Wang.
By: Wang, Li-Xin.
Material type:
BookPublisher: [S.l.] : Prentice Hall, 1996Edition: 1st ed.Description: 448 p. ; 23 cm.ISBN: 0135408822 (paperback); 9780135408827 (paperback).Online resources: Amazon.com Summary: Provides a comprehensive, self-tutorial course in fuzzy logic and its increasing role in control theory. The book answers key questions about fuzzy systems and fuzzy control. It introduces basic concepts such as fuzzy sets, fuzzy union, fuzzy intersection and fuzzy complement. Learn about fuzzy relations, approximate reasoning, fuzzy rule bases, fuzzy inference engines, and several methods for designing fuzzy systems. For professional engineers and students applying the principles of fuzzy logic to work or study in control theory.
| Item type | Current location | Collection | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|
Books
|
Reference Section | Reference | 629.83WAN (Shelf -79E) (Browse shelf) | Available | 25898 |
Browsing Reference Section Shelves , Collection code: Reference Close shelf browser
| 629.83TEW (Shelf -79E) Modern Control Design with MATLAB and Simulation / | 629.83TRI (Shelf -79E) A course in modern control system / | 629.83TRI (Shelf -79E) A course in modern control system / | 629.83WAN (Shelf -79E) A course in fuzzy systems and control / | 629.83XAV (Shelf -79E) Control system engineering / | 629.892ASF (Shelf - 90A) Robots and manufacturing automation. | 629.892FUK (Shelf -79E) Automatic Control Engineering / |
Facsimile.
Provides a comprehensive, self-tutorial course in fuzzy logic and its increasing role in control theory. The book answers key questions about fuzzy systems and fuzzy control. It introduces basic concepts such as fuzzy sets, fuzzy union, fuzzy intersection and fuzzy complement. Learn about fuzzy relations, approximate reasoning, fuzzy rule bases, fuzzy inference engines, and several methods for designing fuzzy systems. For professional engineers and students applying the principles of fuzzy logic to work or study in control theory.
There are no comments for this item.