55 citations · 137 across the 38 of their papers we have counts for
6 papers · 1 filter
A Data-driven Pricing Scheme for Optimal Routing through Artificial Currencies
David van de Sanden, Maarten Schoukens, Mauro Salazar
Mobility systems often suffer from a high price of anarchy due to the uncontrolled behavior of selfish users. This may result in societal costs that are significantly higher compar…
Deep Subspace Encoders for Nonlinear System Identification
Gerben I. Beintema, Maarten Schoukens, Roland Tóth
Using Artificial Neural Networks (ANN) for nonlinear system identification has proven to be a promising approach, but despite of all recent research efforts, many practical and the…
Koopman Form of Nonlinear Systems with Inputs
Lucian Cristian Iacob, Roland Tóth, Maarten Schoukens
The Koopman framework proposes a linear representation of finite-dimensional nonlinear systems through a generally infinite-dimensional globally linear embedding. Originally, the K…
Optimal Synthesis of LTI Koopman Models for Nonlinear Systems with Inputs
Lucian Cristian Iacob, Roland Tóth, Maarten Schoukens
A popular technique used to obtain linear representations of nonlinear systems is the so-called Koopman approach, where the nonlinear dynamics are lifted to a (possibly infinite di…
Continuous-time identification of dynamic state-space models by deep subspace encoding
Gerben I. Beintema, Maarten Schoukens, Roland Tóth
Continuous-time (CT) modeling has proven to provide improved sample efficiency and interpretability in learning the dynamical behavior of physical systems compared to discrete-time…
Deep-Learning-Based Identification of LPV Models for Nonlinear Systems
Chris Verhoek, Gerben I. Beintema, Sofie Haesaert +2
The Linear Parameter-Varying (LPV) framework provides a modeling and control design toolchain to address nonlinear (NL) system behavior via linear surrogate models. Despite major r…