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.
|Number of pages||5|
|Publication status||Published - 1 Jul 2021|
|Event||19th IFAC Symposium on System Identification, SYSID 2021 - Padova, Italy|
Duration: 13 Jul 2021 → 16 Jul 2021
- Nonlinear system identification, polynomial nonlinear state-space