Extension of generalized minimum variance control for multi-input multi-output systems using coprime factorization approach

Akira Inoue, Akira Yanou, Takao Sato, Yoichi Hirashima

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

25 Citations (Scopus)

Abstract

This paper proposes a new generalized minimum-variance controller (GMVC) having new design parameters by using coprime factorization approach for multi-input multi-output (MIMO) case. The method is directly extended from a conventional GMVC and to construct the controller, it needs to solve only one Diophantine equation as in the conventional method. In this paper, by using double-coprime factorization, a simple formula for closed-loop system given by the parametrized controller is obtained and using the formula, it is proved that the closed-loop characteristic from reference signal to plant output is independent of the selection of the design parameters and the poles of the controller can be chosen by the design parameters without changing the closed-loop system.

Original languageEnglish
Title of host publicationProceedings of the American Control Conference
PublisherIEEE
Pages4184-4188
Number of pages5
Volume6
Publication statusPublished - 2000
Event2000 Americal Control Conference - Chicago, IL, USA
Duration: Jun 28 2000Jun 30 2000

Other

Other2000 Americal Control Conference
CityChicago, IL, USA
Period6/28/006/30/00

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ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Inoue, A., Yanou, A., Sato, T., & Hirashima, Y. (2000). Extension of generalized minimum variance control for multi-input multi-output systems using coprime factorization approach. In Proceedings of the American Control Conference (Vol. 6, pp. 4184-4188). IEEE.