Identification of extended bilinear state space models

Andreas Schrempf; L. Del Re

Identification of extended bilinear state space models

Andreas Schrempf^*
, L. Del Re

^*Korrespondierende/r Autor/-in für diese Arbeit

Publikation: Beitrag in Fachzeitschrift › Konferenzartikel › Begutachtung

2 Zitate (Scopus)

Abstract

In this paper an identification algorithm for a special model class which captures essential characteristics of many nonlinear systems is presented. Conditions are given under which this nonlinear model can be identified by use of efficient linear tools. Subspace identification is used here to determine the linear part of the model and an initial estimate for the nonlinear one. The estimate of the nonlinear part is computed by a final numerical optimization step. A simulation study illustrates the applicability of the proposed method.

Originalsprache	Englisch
Seiten (von - bis)	2151-2156
Seitenumfang	6
Fachzeitschrift	Proceedings of the IEEE Conference on Decision and Control
Jahrgang	3
Publikationsstatus	Veröffentlicht - 2001
Extern publiziert	Ja
Veranstaltung	40th IEEE Conference on Decision and Control (CDC) - Orlando, FL, USA/Vereinigte Staaten Dauer: 4 Dez. 2001 → 7 Dez. 2001

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title = "Identification of extended bilinear state space models",

abstract = "In this paper an identification algorithm for a special model class which captures essential characteristics of many nonlinear systems is presented. Conditions are given under which this nonlinear model can be identified by use of efficient linear tools. Subspace identification is used here to determine the linear part of the model and an initial estimate for the nonlinear one. The estimate of the nonlinear part is computed by a final numerical optimization step. A simulation study illustrates the applicability of the proposed method.",

author = "Andreas Schrempf and \{Del Re\}, L.",

year = "2001",

language = "English",

volume = "3",

pages = "2151--2156",

journal = "Proceedings of the IEEE Conference on Decision and Control",

issn = "0191-2216",

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

note = "40th IEEE Conference on Decision and Control (CDC) ; Conference date: 04-12-2001 Through 07-12-2001",

}

TY - JOUR

T1 - Identification of extended bilinear state space models

AU - Schrempf, Andreas

AU - Del Re, L.

PY - 2001

Y1 - 2001

N2 - In this paper an identification algorithm for a special model class which captures essential characteristics of many nonlinear systems is presented. Conditions are given under which this nonlinear model can be identified by use of efficient linear tools. Subspace identification is used here to determine the linear part of the model and an initial estimate for the nonlinear one. The estimate of the nonlinear part is computed by a final numerical optimization step. A simulation study illustrates the applicability of the proposed method.

AB - In this paper an identification algorithm for a special model class which captures essential characteristics of many nonlinear systems is presented. Conditions are given under which this nonlinear model can be identified by use of efficient linear tools. Subspace identification is used here to determine the linear part of the model and an initial estimate for the nonlinear one. The estimate of the nonlinear part is computed by a final numerical optimization step. A simulation study illustrates the applicability of the proposed method.

UR - https://www.scopus.com/pages/publications/0035709103

M3 - Conference article

AN - SCOPUS:0035709103

SN - 0191-2216

VL - 3

SP - 2151

EP - 2156

JO - Proceedings of the IEEE Conference on Decision and Control

JF - Proceedings of the IEEE Conference on Decision and Control

T2 - 40th IEEE Conference on Decision and Control (CDC)

Y2 - 4 December 2001 through 7 December 2001

ER -

Identification of extended bilinear state space models

Abstract

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