Constructing fuzzy controllers for multivariate problems by using statistical indices

Jianwei Zhang, Alois Knoll

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

3 Scopus citations

Abstract

This paper proposes an approach for solving multivariate control problems with a fuzzy controller. Instead of using selected input variables, statistical indices are extracted to feed the fuzzy controller The original input space is transformed into an eigenspace. If a sequence of training data are sampled in a local context, a small number of eigenvectors which possess larger eigenvalues provide a good summary of all the original variables. Fuzzy controllers can be trained for mapping the input projection in the eigenspace to the outputs. Implementations with the prediction of time series and vision-based robot control validate the concept.

Original languageEnglish
Title of host publication1998 IEEE International Conference on Fuzzy Systems Proceedings - IEEE World Congress on Computational Intelligence
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1619-1624
Number of pages6
ISBN (Print)078034863X, 9780780348639
DOIs
StatePublished - 1998
Externally publishedYes
Event1998 IEEE International Conference on Fuzzy Systems, FUZZY 1998 - Anchorage, United States
Duration: 4 May 19989 May 1998

Publication series

Name1998 IEEE International Conference on Fuzzy Systems Proceedings - IEEE World Congress on Computational Intelligence
Volume2

Conference

Conference1998 IEEE International Conference on Fuzzy Systems, FUZZY 1998
Country/TerritoryUnited States
CityAnchorage
Period4/05/989/05/98

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