Gerben Izaak Beintema

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 19

Top Topics

Nonlinear Systems

State Variables

Subspace Clustering

Top Venues

Publications

Max D. Champneys, Gerben Izaak Beintema, Roland Tóth, Maarten Schoukens, Timothy J. Rogers
Baseline Results for Selected Nonlinear System Identification Benchmarks. CoRR (2024)
Gerben Izaak Beintema, Maarten Schoukens, Roland Tóth
Meta-state-space learning: An identification approach for stochastic dynamical systems. Autom. 167 (2024)
Jonas Weigand, Gerben Izaak Beintema, Jonas Ulmen, Daniel Görges, Roland Tóth, Maarten Schoukens, Martin Ruskowski
State Derivative Normalization for Continuous-Time Deep Neural Networks. CoRR (2024)
Gerben Izaak Beintema, Maarten Schoukens, Roland Tóth
Deep subspace encoders for nonlinear system identification. Autom. 156 (2023)
Gerben Izaak Beintema, Maarten Schoukens, Roland Tóth
Continuous-time identification of dynamic state-space models by deep subspace encoding. ICLR (2023)
Jan H. Hoekstra, Bence Cseppento, Gerben Izaak Beintema, Maarten Schoukens, Zsolt Kollár, Roland Tóth
Computationally Efficient Predictive Control Based on ANN State-Space Models. CDC (2023)
Rishi Ramkannan, Gerben Izaak Beintema, Roland Tóth, Maarten Schoukens
Initialization Approach for Nonlinear State-Space Identification via the Subspace Encoder Approach. CoRR (2023)
Jan H. Hoekstra, Bence Cseppento, Gerben Izaak Beintema, Maarten Schoukens, Zsolt Kollár, Roland Tóth
Computationally efficient predictive control based on ANN state-space models. CoRR (2023)
Gerben Izaak Beintema, Maarten Schoukens, Roland Tóth
Meta-State-Space Learning: An Identification Approach for Stochastic Dynamical Systems. CoRR (2023)
L. H. Peeters, Gerben Izaak Beintema, M. Forgione, Maarten Schoukens
NARX Identification using Derivative-Based Regularized Neural Networks. CDC (2022)
Chris Verhoek, Gerben Izaak Beintema, Sofie Haesaert, Maarten Schoukens, Roland Tóth
Deep-Learning-Based Identification of LPV Models for Nonlinear Systems. CoRR (2022)
L. H. Peeters, Gerben Izaak Beintema, M. Forgione, Maarten Schoukens
NARX Identification using Derivative-Based Regularized Neural Networks. CoRR (2022)
Chris Verhoek, Gerben Izaak Beintema, Sofie Haesaert, Maarten Schoukens, Roland Tóth
Deep-Learning-Based Identification of LPV Models for Nonlinear Systems. CDC (2022)
Gerben Izaak Beintema, Maarten Schoukens, Roland Tóth
Deep Subspace Encoders for Nonlinear System Identification. CoRR (2022)
Gerben Izaak Beintema, Maarten Schoukens, Roland Tóth
Deep subspace encoders for continuous-time state-space identification. CoRR (2022)
Lucian-Cristian Iacob, Gerben Izaak Beintema, Maarten Schoukens, Roland Tóth
Deep Identification of Nonlinear Systems in Koopman Form. CoRR (2021)
Gábor Rödönyi, Gerben Izaak Beintema, Roland Tóth, Maarten Schoukens, Daniel Pup, Ádám Kisari, Zs. Vígh, Peter Korös, Alexandros Soumelidis, József Bokor
Identification of the nonlinear steering dynamics of an autonomous vehicle. CoRR (2021)
Lucian-Cristian Iacob, Gerben Izaak Beintema, Maarten Schoukens, Roland Tóth
Deep Identification of Nonlinear Systems in Koopman Form. CDC (2021)
Gerben Izaak Beintema, Roland Tóth, Maarten Schoukens
Non-linear State-space Model Identification from Video Data using Deep Encoders. CoRR (2020)