A new type of fuzzy logic system for adaptive modelling and control

J. Zhang, A. Knoll, K. V. Le

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

We present a new type of fuzzy controller constructed with the B-spline model and its applications in modelling and control. Unlike the other normalised parameterised set functions for defining fuzzy sets, B-spline basis functions do not necessarily span from membership value 0 to 1, but possess the property “partition of unity”. These B-spline basis functions are automatically determined after the input space is partitioned. By using “product” as fuzzy conjunction, “centroid” as defuzzification, “fuzzy singletons” for modelling output variables and adding marginal linguistic terms, fuzzy controllers can be constructed which have advantages like smoothness, automatic design and intuitive interpretation of controller parameters. Furthermore, both theoretical analysis and experimental results show the rapid convergence for tasks of data approximation and unsupervised learning with this type of fuzzy controller.

Original languageEnglish
Title of host publicationComputational Intelligence
Subtitle of host publicationTheory and Applications - International Conference, 5th Fuzzy Days, 1997, Proceedings
EditorsBernd Reusch
PublisherSpringer Verlag
Pages363-380
Number of pages18
ISBN (Print)3540628681, 9783540628682
DOIs
StatePublished - 1997
Externally publishedYes
Event5th Fuzzy Days International Conference on Computational Intelligence, CI 1997 - Dortmund, Germany
Duration: 28 Apr 199730 Apr 1997

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1226
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th Fuzzy Days International Conference on Computational Intelligence, CI 1997
Country/TerritoryGermany
CityDortmund
Period28/04/9730/04/97

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