On-line identification of nonlinear systems using adaptive matching pursuit

Armin Shmilovici, Oded Maimon

Research output: Contribution to conferencePaperpeer-review

1 Scopus citations

Abstract

A reduced complexity algorithm, which is an adaptive version of the Matching Pursuit algorithm, is proposed for the identification of nonlinear systems. The algorithm is demonstrated on various nonlinear systems presented in the literature. The results are favorable compared to other nonlinear identification methods (e.g. Neural Nets). It is demonstrated that the algorithm could be used for the design of adaptive controllers.

Original languageEnglish
Pages499-502
Number of pages4
StatePublished - 1 Dec 1996
Externally publishedYes
EventProceedings of the 1996 19th Convention of Electrical and Electronics Engineers in Israel - Jerusalem, Isr
Duration: 5 Nov 19966 Nov 1996

Conference

ConferenceProceedings of the 1996 19th Convention of Electrical and Electronics Engineers in Israel
CityJerusalem, Isr
Period5/11/966/11/96

ASJC Scopus subject areas

  • Engineering (all)

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