14th IFAC Symposium on System Identification, SYSID 2006

SYSID-2006 Paper Abstract

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Paper ThA1.2

Paduart, Johan (Vrije Univ. Brussel), Schoukens, Johan (Vrije Univ. Brussel), Pintelon, Rik (Vrije Univ. Brussel), Coen, Tom (Katholieke Univ. Leuven)

Nonlinear State Space Modelling of Multivariable Systems

Scheduled for presentation during the Invited Session "Nonlinear System Identification I" (ThA1), Thursday, March 30, 2006, 11:10−11:30, Concert Hall

14th IFAC Symposium on System Identification, March 29 - 31, 2006, Newcastle, Australia

This information is tentative and subject to change. Compiled on July 22, 2018

Keywords Nonlinear System Identification, Multivariable System Identification, Subspace Methods

Abstract

In this paper we propose a method to model nonlinear multivariable systems. We will use a state space approach since this is inherently compatible with Multiple Input, Multiple Output (MIMO) systems. The basic idea is to fit first a linear model on the measured data, and to extend that model so that it can grasp the nonlinear behaviour of the system. The results are applied to a physical system.