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Fuzzy control and identification /

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. Final...

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Bibliographic Details
Main Author: Lilly, John H., 1949-
Format: eBook
Language:English
Published: Hoboken, N.J. : Wiley, [2010]
Subjects:
Fuzzy automata.
System identification.
Automatic control > Mathematics.
Engineering.
TECHNOLOGY & ENGINEERING > Robotics.
Automatic control / Mathematics.
Electronic books.
Online Access:View fulltext via EzAccess
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049 |a MAIN 
100 1 |a Lilly, John H.,  |d 1949- 
245 1 0 |a Fuzzy control and identification /  |c John H. Lilly. 
264 1 |a Hoboken, N.J. :  |b Wiley,  |c [2010] 
264 4 |c ©2010 
300 |a 1 online resource (xv, 231 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a data file  |2 rda 
380 |a Bibliography 
504 |a Includes bibliographical references (pages 190-191) and index. 
505 0 |a Introduction -- Basic concepts of fuzzy sets -- Mamdani fuzzy systems -- Fuzzy control with Mamdani systems -- Modeling and control methods useful for fuzzy control -- Takagi-Sugeno fuzzy systems -- Parallel distributed control with Takagi-Sugeno fuzzy systems -- Estimation of static nonlinear functions from data -- Modeling of dynamic plants as fuzzy systems -- Adaptive fuzzy control. 
588 0 |a Print version record. 
520 |a 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. 
650 0 |a Fuzzy automata. 
650 0 |a System identification. 
650 0 |a Automatic control  |x Mathematics. 
650 4 |a Engineering. 
650 4 |a Fuzzy automata. 
650 4 |a System identification. 
650 4 |a Automatic control  |x Mathematics. 
650 7 |a TECHNOLOGY & ENGINEERING  |x Robotics.  |2 bisacsh 
650 7 |a Automatic control  |x Mathematics.  |2 fast  |0 (OCoLC)fst00822713 
650 7 |a Fuzzy automata.  |2 fast  |0 (OCoLC)fst00936801 
650 7 |a System identification.  |2 fast  |0 (OCoLC)fst01141418 
650 7 |a Fuzzy automata.  |2 local 
650 7 |a System identification.  |2 local 
650 7 |a Automatic control / Mathematics.  |2 local 
655 4 |a Electronic books. 
776 0 8 |i Print version:  |a Lilly, John H., 1949-  |t Fuzzy control and identification.  |d Hoboken, N.J. : Wiley, ©2010  |z 9780470542774  |w (DLC) 2010007956  |w (OCoLC)526076874 
856 4 0 |z View fulltext via EzAccess  |u https://ezaccess.library.uitm.edu.my/login?url=https://doi.org/10.1002/9780470874240 
994 |a 92  |b DG1 

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