Identification of extended bilinear state space models

Andreas Schrempf; Luigi del Re

Identification of extended bilinear state space models

Andreas Schrempf, Luigi del Re

Institute of Design and Control of Mechatronical Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

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 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.

Original language	English
Title of host publication	Proceedings of the 40th IEEE Conference on Decision and Control
Place of Publication	Piscataway, NJ, USA
Publisher	IEEE
Pages	2151-2156
Number of pages	6
Volume	3
Publication status	Published - Dec 2001

Fields of science

202 Electrical Engineering, Electronics, Information Engineering
202027 Mechatronics
202034 Control engineering
203027 Internal combustion engines
206001 Biomedical engineering
206002 Electro-medical engineering
207109 Pollutant emission

Cite this

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

abstract = "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 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}, Luigi",

year = "2001",

month = dec,

language = "English",

volume = "3",

pages = "2151--2156",

booktitle = "Proceedings of the 40th IEEE Conference on Decision and Control",

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AU - Schrempf, Andreas

AU - del Re, Luigi

PY - 2001/12

Y1 - 2001/12

N2 - 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 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 - 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 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.

M3 - Conference proceedings

VL - 3

SP - 2151

EP - 2156

BT - Proceedings of the 40th IEEE Conference on Decision and Control

PB - IEEE

CY - Piscataway, NJ, USA

ER -