Descript. |
1 online resource (xv, 231 pages) : illustrations |
Phys Desc |
data file |
Bibliog. |
Includes bibliographical references (pages 190-191) and index. |
Contents |
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. |
Summary |
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. |
Sys Details |
Ebook access requires you to log in as a Federation University Australia library user |
Notes |
Print version record. |
Subject |
Fuzzy automata.
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System identification.
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Automatic control -- Mathematics.
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Other Title |
Wiley UBCM All Titles excluding German thru 2023
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ISBN |
9780470872710 (electronic bk.) |
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0470872713 (electronic bk.) |
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9780470874240 (electronic bk.) |
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0470874244 (electronic bk.) |
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9781118097816 |
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1118097815 |
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6612883626 (ebook) |
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9786612883620 (ebook) |
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9780470542774 |
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0470542772 |
ISBN/ISSN |
10.1002/9780470874240 doi |
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