Differentially coprime kernel representations and closed-loop identification of nonlinear systems

Kenji Fujimoto; Brian D.O. Anderson; Franky De Bruyne

doi:10.1109/ACC.2000.878882

Differentially coprime kernel representations and closed-loop identification of nonlinear systems

Kenji Fujimoto, Brian D.O. Anderson, Franky De Bruyne

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

In this paper, we utilize the differential kernel representation concept to convert a nonlinear closed-loop identification problem into one of open-loop identification utilizing nonlinear version of the Youla parametrization. The main advantage of our approach using kernel representations over fractional descriptions is that we address a larger class of nonlinear systems.

Original language	English
Pages (from-to)	302-306
Journal	Proceedings of the American Control Conference
Volume	1
DOIs	https://doi.org/10.1109/ACC.2000.878882
Publication status	Published - 2000

Access to Document

10.1109/ACC.2000.878882

Cite this

@article{348ba44250d545fe95ff5caad9d65382,

title = "Differentially coprime kernel representations and closed-loop identification of nonlinear systems",

abstract = "In this paper, we utilize the differential kernel representation concept to convert a nonlinear closed-loop identification problem into one of open-loop identification utilizing nonlinear version of the Youla parametrization. The main advantage of our approach using kernel representations over fractional descriptions is that we address a larger class of nonlinear systems.",

author = "Kenji Fujimoto and Anderson, \{Brian D.O.\} and \{De Bruyne\}, Franky",

year = "2000",

doi = "10.1109/ACC.2000.878882",

language = "English",

volume = "1",

pages = "302--306",

journal = "Proceedings of the American Control Conference",

issn = "0743-1619",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - JOUR

T1 - Differentially coprime kernel representations and closed-loop identification of nonlinear systems

AU - Fujimoto, Kenji

AU - Anderson, Brian D.O.

AU - De Bruyne, Franky

PY - 2000

Y1 - 2000

N2 - In this paper, we utilize the differential kernel representation concept to convert a nonlinear closed-loop identification problem into one of open-loop identification utilizing nonlinear version of the Youla parametrization. The main advantage of our approach using kernel representations over fractional descriptions is that we address a larger class of nonlinear systems.

AB - In this paper, we utilize the differential kernel representation concept to convert a nonlinear closed-loop identification problem into one of open-loop identification utilizing nonlinear version of the Youla parametrization. The main advantage of our approach using kernel representations over fractional descriptions is that we address a larger class of nonlinear systems.

UR - https://www.scopus.com/pages/publications/0034539911

U2 - 10.1109/ACC.2000.878882

DO - 10.1109/ACC.2000.878882

M3 - Article

AN - SCOPUS:0034539911

SN - 0743-1619

VL - 1

SP - 302

EP - 306

JO - Proceedings of the American Control Conference

JF - Proceedings of the American Control Conference

ER -

Differentially coprime kernel representations and closed-loop identification of nonlinear systems

Abstract

Access to Document

Other files and links

Fingerprint

Cite this