4 papers
Regularized Nonparametric Volterra Kernel Estimation
Georgios Birpoutsoukis, Anna Marconato, John Lataire +1
In this paper, the regularization approach introduced recently for nonparametric estimation of linear systems is extended to the estimation of nonlinear systems modelled as Volterr…
Efficient Multidimensional Regularization for Volterra Series Estimation
Georgios Birpoutsoukis, Péter Zoltán Csurcsia, Johan Schoukens
This paper presents an efficient nonparametric time domain nonlinear system identification method. It is shown how truncated Volterra series models can be efficiently estimated wit…
Nonlinear system modeling based on constrained Volterra series estimates
P. Śliwiński, A. Marconato, P. Wachel +1
A simple nonlinear system modeling algorithm designed to work with limited \emph{a priori }knowledge and short data records, is examined. It creates an empirical Volterra series-ba…
Gaussian Process Regression for Generalized Frequency Response Function Estimation
Jeremy Stoddard, Georgios Birpoutsoukis
Kernel-based modeling of dynamic systems has garnered a significant amount of attention in the system identification literature since its introduction to the field. While the metho…