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Genetic-based fuzzy clustering for DC-motor friction identification and compensation

✍ Scribed by Tzes, A.; Pei-Yuan Peng; Guthy, J.


Book ID
118144887
Publisher
IEEE
Year
1998
Tongue
English
Weight
302 KB
Volume
6
Category
Article
ISSN
1063-6536

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This work presents the use of local fuzzy prototypes as a new idea to obtain accurate local semantics-based Takagi-Sugeno-Kang ~TSK! rules. This allow us to start from prototypes considering the interaction between input and output variables and taking into account the fuzzy nature of the TSK rules.