Publications
A data-driven nonlinear state-space model of the unsteady lift force on a pitching wing Vrije Universiteit Brussel
Decoupling in Black Box Nonlinear System Identification: A Game Changer Vrije Universiteit Brussel
One-bit System Identification Vrije Universiteit Brussel
Nonlinear System Identification with Dominating Output Noise - A Case Study on the Silverbox Vrije Universiteit Brussel
PNLSS toolbox 1.0 Vrije Universiteit Brussel
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.
Decoupling multivariate functions using a non-parametric filtered CPD approach Vrije Universiteit Brussel
Black-box model structures are dominated by large multivariate functions. Usually a generic basis function expansion is used, e.g. a polynomial basis, and the parameters of the function are tuned given the data. This is a pragmatic and often necessary step considering the black-box nature of the problem. However, having identified a suitable function, there is no need to stick to the original basis. So-called decoupling techniques aim at ...
Applying polynomial decoupling methods to the polynomial NARX model Vrije Universiteit Brussel
Retrieving highly structured models starting from black-box nonlinear state-space models using polynomial decoupling Vrije Universiteit Brussel
Nonlinear state-space modelling is a very powerful black-box modelling approach. However powerful, the resulting models tend to be complex, described by a large number of parameters. In many cases interpretability is preferred over complexity, making too complex models unfit or undesired. In this work, the complexity of such models is reduced by retrieving a more structured, parsimonious model from the data, without exploiting physical ...
User-friendly nonlinear nonparametric estimation framework for vibro-acoustic industrial measurements with multiple inputs Vrije Universiteit Brussel
This paper introduces a user-friendly estimation framework for industrial measurements of vibro-acoustic systems with multiple inputs. Many mechanical structures are inherently nonlinear and there is no unique solution for modeling nonlinear systems. This is especially true when multiple-input, multiple-output (MIMO) systems are considered. This paper addresses the questions related to the user-friendly semi-automatic processing of MIMO ...