Multivariate identification; a multiple model parameterization

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

1 Scopus citations

Abstract

Unlike parameterizations of single rate systems, we note that every multirate system cannot be parameterized using a single model. Using a lifting strategy, a parameterized set of models can be developed for SISO and MIMO systems. We develop and algorithm to calculate the number of models required for the SISO and MIMO multi-rate systems. Using the multiple model result, a least squares identification procedure provides the required model parameters.

Original languageEnglish (US)
Title of host publicationAmerican Control Conference
Editors Anon
PublisherPubl by IEEE
Pages2000-2001
Number of pages2
ISBN (Print)0780308611
StatePublished - Dec 1 1993
Externally publishedYes
EventProceedings of the 1993 American Control Conference Part 3 (of 3) - San Francisco, CA, USA
Duration: Jun 2 1993Jun 4 1993

Publication series

NameAmerican Control Conference

Other

OtherProceedings of the 1993 American Control Conference Part 3 (of 3)
CitySan Francisco, CA, USA
Period6/2/936/4/93

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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    Doi, D., & Phillips, S. M. (1993). Multivariate identification; a multiple model parameterization. In Anon (Ed.), American Control Conference (pp. 2000-2001). (American Control Conference). Publ by IEEE.