Identification of multivariable interval dynamic model from measurements in frequency domain

Author

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

Author_Institution

Center for Robotics & Manuf. Syst., Kentucky Univ., Lexington, KY, USA

Volume

3

fYear

1997

fDate

4-6 Jun 1997

Firstpage

1939

Abstract

Frequently 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 to show the effectiveness of the effectiveness of the proposed algorithm

Keywords

identification; manufacturing processes; multivariable control systems; process control; frequency domain measurements; manufacturing processes; membership constraints; multivariable interval dynamic model; Control system synthesis; Delay; Frequency domain analysis; Frequency measurement; MIMO; Manufacturing processes; Manufacturing systems; Process control; Robots; Welding;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference, 1997. Proceedings of the 1997

Conference_Location

Albuquerque, NM

ISSN

0743-1619

Print_ISBN

0-7803-3832-4

Type

conf

DOI

10.1109/ACC.1997.610923

Filename

610923