Title of article :
Identification of nonlinear systems using Polynomial Nonlinear State Space models
Author/Authors :
Paduart، نويسنده , , Johan and Lauwers، نويسنده , , Lieve and Swevers، نويسنده , , Jan and Smolders، نويسنده , , Kris and Schoukens، نويسنده , , Johan and Pintelon، نويسنده , , Rik، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2010
Pages :
10
From page :
647
To page :
656
Abstract :
In this paper, we propose a method to model nonlinear systems using polynomial nonlinear state space equations. Obtaining good initial estimates is a major problem in nonlinear modelling. It is solved here by identifying first the best linear approximation of the system under test. The proposed identification procedure is successfully applied to measurements of two physical systems.
Keywords :
System identification , Nonlinear systems , Multivariable systems , Best linear approximation
Journal title :
Automatica
Serial Year :
2010
Journal title :
Automatica
Record number :
1447993
Link To Document :
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