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Optimal selection of estimatee for parameter estimation using multiple models

  • University of New Orleans

Research output: Contribution to journalConference articlepeer-review

Abstract

A theoretical contribution to the design of the set of multiple models (MM) is presented. It provides theoretical results concerning optimal selection of estimatee for parameter estimation using MM method and also clarifies some confusions in the application of the MM method to problems under structural as well as parametric uncertainties.

Original languageEnglish
Pages (from-to)1052-1053
Number of pages2
JournalProceedings of the American Control Conference
Volume2
StatePublished - 1997
Externally publishedYes
EventProceedings of the 1997 American Control Conference. Part 3 (of 6) - Albuquerque, NM, USA
Duration: 4 Jun 19976 Jun 1997

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