Convergence & colored noise issues in bounding ellipsoid identification

M. Nayeri, J. R. Deller, Marwan M Krunz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

The convergence and bias properties of a general class of optimal bounding ellipsoid (OBE) algorithms are discussed. OBE algorithms are set-membership (SM) based identification algorithms which are applied to models which are linear-in-parameters, and are closely related to weighted recursive least square error (WRLS) methods.

Original languageEnglish (US)
Title of host publicationICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages337-340
Number of pages4
Volume5
ISBN (Electronic)0780305329
DOIs
StatePublished - 1992
Externally publishedYes
Event1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992 - San Francisco, United States
Duration: Mar 23 1992Mar 26 1992

Other

Other1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992
CountryUnited States
CitySan Francisco
Period3/23/923/26/92

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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    Nayeri, M., Deller, J. R., & Krunz, M. M. (1992). Convergence & colored noise issues in bounding ellipsoid identification. In ICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing (Vol. 5, pp. 337-340). [226614] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.1992.226614