Identification of extended bilinear state space models

Andreas Schrempf, L. Del Re

Research output: Contribution to journalConference articlepeer-review

2 Citations (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.

Original languageEnglish
Pages (from-to)2151-2156
Number of pages6
JournalProceedings of the IEEE Conference on Decision and Control
Volume3
Publication statusPublished - 2001
Externally publishedYes
Event40th IEEE Conference on Decision and Control (CDC) - Orlando, FL, United States
Duration: 4 Dec 20017 Dec 2001

Fingerprint Dive into the research topics of 'Identification of extended bilinear state space models'. Together they form a unique fingerprint.

Cite this