PNLSS Toolbox 1.0
arXiv:2105.08534
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.
Accepted for presentation at the 19th IFAC Symposium on System Identification (SYSID 2021)