Items where Author is "Schoukens, M"
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Number of items: 15.
Article
| Date | Author/Title | Document Type | |
|---|---|---|---|
| 2024 | Iacob, L C and Tóth, Roland and Schoukens, M Koopman form of nonlinear systems with inputs |  | Article |
| 2024 | Retzler, András and Tóth, Roland and Schoukens, M and Beintema, G I and Weigand, J and Noël, J-P and Kollár, Zsolt and Swevers, J Learning-based augmentation of physics-based models: an industrial robot use case | | Article |
| 2024 | Beintema, G I and Schoukens, M and Tóth, Roland Meta-state–space learning: An identification approach for stochastic dynamical systems | | Article |
| 2023 | Khandelwal, D and Schoukens, M and Tóth, Roland Automated multi-objective system identification using grammar-based genetic programming | | Article |
| 2023 | Beintema, G I and Schoukens, M and Tóth, Roland Deep subspace encoders for nonlinear system identification | | Article |
| 2023 | Iacob, L C and Schoukens, M and Tóth, Roland Finite Dimensional Koopman Form of Polynomial Nonlinear Systems* | | Article |
| 2023 | Ramkannan, R and Beintema, G I and Tóth, Roland and Schoukens, M Initialization Approach for Nonlinear State-Space Identification via the Subspace Encoder Approach | | Article |
| 2023 | Moradi, S and Jaensson, N and Tóth, Roland and Schoukens, M Physics-Informed Learning Using Hamiltonian Neural Networks with Output Error Noise Models | | Article |
| 2022 | Iacob, L C and Tóth, Roland and Schoukens, M Optimal Synthesis of LTI Koopman Models for Nonlinear Systems with Inputs | Article | |
| 2021 | Rödönyi, Gábor and Beintema, G I and Tóth, Roland and Schoukens, M and Pup, Dániel and Kisari, Ádám and Vigh, Zsombor and Kőrös, Péter and Soumelidis, Alexandros and Bokor, József Identification of the nonlinear steering dynamics of an autonomous vehicle | Article | |
| 2021 | Beintema, G I and Tóth, Roland and Schoukens, M Non-linear State-space Model Identification from Video Data using Deep Encoders | Article | |
| 2021 | Nechita, S-C and Tóth, Roland and Khandelwal, D and Schoukens, M Toolbox for Discovering Dynamic System Relations via TAG Guided Genetic Programming | Article |
Book Section
| Date | Author/Title | Document Type | |
|---|---|---|---|
| 2022 | Verhoek, C and Beintema, G I and Haesaert, S and Schoukens, M and Tóth, Roland Deep-Learning-Based Identification of LPV Models for Nonlinear Systems | Book Section | |
| 2021 | Iacob, L C and Beintema, G I and Schoukens, M and Tóth, Roland Deep Identification of Nonlinear Systems in Koopman Form | | Book Section |
Conference or Workshop Item
| Date | Author/Title | Document Type | |
|---|---|---|---|
| 2023 | Beintema, G I and Schoukens, M and Tóth, Roland Continuous-time identification of dynamic state-space models by deep subspace encoding | | Conference or Workshop Item |
