Fuzzy Control and Identification

Fuzzy Control and Identification
Author: John H. Lilly
Publisher: John Wiley & Sons
Total Pages: 199
Release: 2011-03-10
Genre: Technology & Engineering
ISBN: 1118097815

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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.


Fuzzy Control and Identification
Language: en
Pages: 199
Authors: John H. Lilly
Categories: Technology & Engineering
Type: BOOK - Published: 2011-03-10 - Publisher: John Wiley & Sons

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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 nonlin
Fuzzy Logic, Identification and Predictive Control
Language: en
Pages: 274
Authors: Jairo Jose Espinosa Oviedo
Categories: Technology & Engineering
Type: BOOK - Published: 2007-01-04 - Publisher: Springer Science & Business Media

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Modern industrial processes and systems require adaptable advanced control protocols able to deal with circumstances demanding "judgement” rather than simple
Fuzzy Model Identification
Language: en
Pages: 334
Authors: Hans Hellendoorn
Categories: Computers
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

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During the past few years two principally different approaches to the design of fuzzy controllers have emerged: heuristics-based design and model-based design.
Fuzzy System Identification and Adaptive Control
Language: en
Pages: 282
Authors: Ruiyun Qi
Categories: Technology & Engineering
Type: BOOK - Published: 2019-06-11 - Publisher: Springer

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This book provides readers with a systematic and unified framework for identification and adaptive control of Takagi–Sugeno (T–S) fuzzy systems. Its design
Fuzzy Control
Language: en
Pages: 506
Authors: Kevin M. Passino
Categories: Computers
Type: BOOK - Published: 1998 - Publisher: Prentice Hall

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Introduction; Fuzzy control: the basics; Case studies in design and implementation; nonlinear analysis; Fuzzy identification and estimation; Adaptive fuzzy cont