Gerben Beintema

CoRR, 2024

2023

Deep subspace encoders for nonlinear system identification.

[BibT_eX]

[DOI]

Autom., October, 2023

Meta-State-Space Learning: An Identification Approach for Stochastic Dynamical Systems.

[BibT_eX]

[DOI]

CoRR, 2023

Initialization Approach for Nonlinear State-Space Identification via the Subspace Encoder Approach.

[BibT_eX]

[DOI]

Rishi Ramkannan

CoRR, 2023

Continuous-time identification of dynamic state-space models by deep subspace encoding.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Computationally Efficient Predictive Control Based on ANN State-Space Models.

[BibT_eX]

[DOI]

Jan H. Hoekstra

Bence Cseppento

Zsolt Kollár

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Deep subspace encoders for continuous-time state-space identification.

[BibT_eX]

[DOI]

CoRR, 2022

Deep-Learning-Based Identification of LPV Models for Nonlinear Systems.

[BibT_eX]

[DOI]

Chris Verhoek

Sofie Haesaert

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

NARX Identification using Derivative-Based Regularized Neural Networks.

[BibT_eX]

[DOI]

L. H. Peeters

M. Forgione

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Identification of the nonlinear steering dynamics of an autonomous vehicle.

[BibT_eX]

[DOI]

Gábor Rödönyi

Alexandros Soumelidis

József Bokor

CoRR, 2021

Nonlinear state-space identification using deep encoder networks.

[BibT_eX]

[DOI]

Gerben Beintema

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Deep Identification of Nonlinear Systems in Koopman Form.

[BibT_eX]

[DOI]

Lucian-Cristian Iacob

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Non-linear State-space Model Identification from Video Data using Deep Encoders.

[BibT_eX]

[DOI]