Identification of multivariable interval dynamic model from measurements in frequency domain

Y. M. Zhang, R. Kovacevic, Y. X. Yao

Research output: Contribution to journalConference articlepeer-review

3 Scopus citations


Frequently the manufacturing processes can not be accurately described using a model with certain parameters. Interval models for which the parameters are within certain intervals may be more effective in describing such processes. In this paper, an algorithm is proposed to identify interval models of multivariable systems from the measurements in the frequency domain. The intervals are minimized with the membership constraints. The numerical aspects for implementing the proposed algorithm are also addressed. Simulation examples are given to show the effectiveness of the proposed algorithm.

Original languageEnglish
Pages (from-to)1939-1943
Number of pages5
JournalProceedings of the American Control Conference
StatePublished - 1997
EventProceedings of the 1997 American Control Conference. Part 3 (of 6) - Albuquerque, NM, USA
Duration: Jun 4 1997Jun 6 1997

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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