Systems identification with fuzzy spline wavelets

Armin Shmilovici, Oded Maimon

Research output: Contribution to conferencePaperpeer-review

Abstract

This paper describes the use of a nonlinear modeling procedure - building a Fuzzy Spline Wavelets (FSW) model. FSW models are produced with a two step process: in the first step, the data set is compressed and denoised with the use of the fast wavelet transform; and in the second stage, the results of the first stage are presented as a Fuzzy rule base with the use of linguistic variables. The hybrid model enjoys the excellent numerical and computational characteristics of the fast wavelet transform, combined with the ability to describe the accumulated knowledge in a human like way, in the form of simple IF...THEN rules using linguistic variables. The method is demonstrated for a truck backing problem.

Original languageEnglish
Pages299-304
Number of pages6
StatePublished - 1997
Externally publishedYes
EventProceedings of the 1997 6th IEEE International Conference on Fussy Systems, FUZZ-IEEE'97. Part 1 (of 3) - Barcelona, Spain
Duration: 1 Jul 19975 Jul 1997

Conference

ConferenceProceedings of the 1997 6th IEEE International Conference on Fussy Systems, FUZZ-IEEE'97. Part 1 (of 3)
CityBarcelona, Spain
Period1/07/975/07/97

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