Novel Lazy Learning Variable Universe Fuzzy Controller for Temperature System

In order to avoid the over rules and solve the knowledge extraction problem in fuzzy system. A novel variable universe fuzzy control based on lazy learning algorithm (LL-VUF) is firstly proposed in this paper. The Learning Set based on Lazy Learning is constituted from message. Then the new type fun...

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Bibliographic Details
Published inComputer Science for Environmental Engineering and EcoInformatics pp. 364 - 370
Main Authors Zhang, Ping, Hao, Xiaohong, Xu, Weitao
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 2011
SeriesCommunications in Computer and Information Science
Subjects
Contraction-expansion factor
K-VNN
Lazy Learning algorithm
Nonlinear system
Variable universe fuzzy control
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ISBN3642226930
9783642226939
ISSN1865-0929
1865-0937
DOI10.1007/978-3-642-22694-6_51

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Summary:In order to avoid the over rules and solve the knowledge extraction problem in fuzzy system. A novel variable universe fuzzy control based on lazy learning algorithm (LL-VUF) is firstly proposed in this paper. The Learning Set based on Lazy Learning is constituted from message. Then the new type function of contraction-expansion factor is designed based on lazy learning algorithm for temperature system. Finally, Simulation results of temperature regulating device indicates that the controller is fast, robust, capable in predict.
ISBN:3642226930
9783642226939
ISSN:1865-0929
1865-0937
DOI:10.1007/978-3-642-22694-6_51