PNLSS Toolbox 1.0
Jan Decuyper, Koen Tiels, Johan Schoukens
TL;DR
The paper introduces PNLSS Toolbox 1.0, a software tool for identifying polynomial nonlinear state-space models from data, demonstrated on electrical and fluid dynamics systems.
Contribution
It provides a practical toolbox for nonlinear system identification using polynomial state-space models, with demonstrations on real and simulated data.
Findings
Successfully identified nonlinear models for electrical and fluid systems
Demonstrated effectiveness of the toolbox in practical scenarios
Showed versatility across different types of nonlinear systems
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.
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Taxonomy
TopicsEducational Technology and Assessment · Environmental Monitoring and Data Management