PNLSS toolbox 1.0

Jan Decuyper, Koen Tiels, Johan Schoukens

Research output: Contribution to journalConference paper

Abstract

This is a demonstration of the PNLSS Toolbox 1.0. The toolbox is designed to identify polynomial nonlinear state-space models from data. Nonlinear state-space models can describe a wide range of nonlinear systems. An illustration is provided on experimental data of an electrical system mimicking the forced Duffing oscillator, and on numerical data of a nonlinear fluid dynamics problem.

Original languageEnglish
Pages (from-to)374-378
Number of pages5
JournalIFAC-PapersOnLine
Volume54
Issue number7
DOIs
Publication statusPublished - 1 Jul 2021
Event19th IFAC Symposium on System Identification, SYSID 2021 - Padova, Italy
Duration: 13 Jul 202116 Jul 2021

Keywords

  • Nonlinear system identification, polynomial nonlinear state-space

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