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Fuzzy Control and Identification
John H. Lilly
€ 134.32
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Description for Fuzzy Control and Identification
Hardcover. A fuzzy control system is a control system based on fuzzy logic, which is a mathematical system that analyzes analog input values in terms of logical variables that take on continuous values between 0 and 1. This text provides a broad introduction to fuzzy control and identification, covering both Mamdani and Takagi-Sugeno fuzzy systems. Num Pages: 232 pages, Illustrations. BIC Classification: TJFM. Category: (P) Professional & Vocational. Dimension: 245 x 164 x 17. Weight in Grams: 488.
This book gives an introduction to basic fuzzy logic and Mamdani and Takagi-Sugeno fuzzy systems. The text shows how these can be used to control complex nonlinear engineering systems, while also also suggesting several approaches to modeling of complex engineering systems with unknown models.
This book gives an introduction to basic fuzzy logic and Mamdani and Takagi-Sugeno fuzzy systems. The text shows how these can be used to control complex nonlinear engineering systems, while also also suggesting several approaches to modeling of complex engineering systems with unknown models.
Finally, fuzzy modeling and control methods are combined in the book, to create adaptive fuzzy controllers, ending with an example of an obstacle-avoidance controller for an autonomous vehicle using modus ponendo tollens logic.
Product Details
Format
Hardback
Publication date
2011
Publisher
John Wiley & Sons Inc United Kingdom
Number of pages
232
Condition
New
Number of Pages
248
Place of Publication
New York, United States
ISBN
9780470542774
SKU
V9780470542774
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About John H. Lilly
John H. Lilly, PhD, is a professor in the Speed School of Engineering at the University of Louisville. His research interests are nonlinear and adaptive control, fuzzy identification and control, positive/negative fuzzy systems, pneumatic muscle actuators, and robotics. In addition to his twenty-eight years of teaching experience, Dr. Lilly has written more than fifty refereed journal and conference articles, book ... Read more
Reviews for Fuzzy Control and Identification
“This is a very useful and attractive material on fuzzy sets in control engineering-accessible to large categories of readers … The book is equally recommended to students (who want to become familiar with the fuzzy logic approach), educators (who are looking for a reliable course and / or application support) and practitioners (who are interested in enlarging their professional horizon).” ... Read more