DocumentCode :
2758402
Title :
Constructing fuzzy controllers for multivariate problems by using statistical indices
Author :
Zhang, Jianwei ; Knoll, Alois
Author_Institution :
Fac. of Technol., Bielefeld Univ., Germany
Volume :
2
fYear :
1998
fDate :
4-9 May 1998
Firstpage :
1619
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
Keywords :
control system synthesis; eigenvalues and eigenfunctions; fuzzy control; statistical analysis; eigenspace; eigenvalues; eigenvectors; fuzzy controller construction; multivariate control problems; statistical indices; time series; vision-based robot control; Furnaces; Fuzzy control; Fuzzy systems; Image processing; Input variables; Mobile robots; Moisture; Pixel; Robot control; Space technology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on
Conference_Location :
Anchorage, AK
ISSN :
1098-7584
Print_ISBN :
0-7803-4863-X
Type :
conf
DOI :
10.1109/FUZZY.1998.686362
Filename :
686362
Link To Document :
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