Roland Toth
Technische Universiteit Eindhoven
H-index: 34
Europe-Netherlands
Top articles of Roland Toth
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Decoupling parameter variation from noise: Biquadratic Lyapunov forms in data-driven LPV control | arXiv preprint arXiv:2403.16565 | Chris Verhoek Jaap Eising Florian Dörfler Roland Tóth | 2024/3/25 |
Vibration Control Under Frequency-Varying Disturbances With Application to Satellites | IEEE Transactions on Control Systems Technology | Tom Bloemers Sjoerd Leemrijse Valentin Preda Fabrice Boquet Tom Oomen | 2024/4/23 |
Attitude Takeover Control for Noncooperative Space Targets Based on Gaussian Processes with Online Model Learning | IEEE Transactions on Aerospace and Electronic Systems | Yuhan Liu Pengyu Wang Chang-hun Lee Roland Tóth | 2024/2/5 |
Frequency Domain Auto-tuning of Structured LPV Controllers for High-Precision Motion Control | arXiv preprint arXiv:2403.05878 | Yorick Broens Hans Butler Roland Tóth | 2024/3/9 |
Learning-based model augmentation with LFRs | arXiv preprint arXiv:2404.01901 | Jan H Hoekstra Chris Verhoek Roland Tóth Maarten Schoukens | 2024/4/2 |
Unconstrained Parameterization of Stable LPV Input-Output Models: with Application to System Identification | arXiv preprint arXiv:2401.10052 | Johan Kon Jeroen van de Wijdeven Dennis Bruijnen Roland Tóth Marcel Heertjes | 2024/1/18 |
Meta-state-space Identification of Stochastic Hearts | GI Beintema Thomas B Schön Roland Tóth Maarten Schoukens | 2024/3 | |
On the reduction of Linear Parameter-Varying State-Space models | arXiv preprint arXiv:2404.01871 | E Javier Olucha Bogoljub Terzin Amritam Das Roland Tóth | 2024/4/2 |
Curve Trajectory Model for Human Preferred Path Planning of Automated Vehicles | Automotive Innovation | Gergo Ferenc Igneczi Erno Horvath Roland Toth Krisztian Nyilas | 2024/1/9 |
Identifying the Dynamics of Smooth Muscle Cells | Dilan Öztürk Şener Alessandro Giudici Koen D Reesink Roland Tóth Maarten Schoukens | 2024/3 | |
Weighted Neural Networks Regularization for State-Space Model Augmentation | Yuhan Liu Roland Tóth Maarten Schoukens | 2024/4/25 | |
Koopman form of nonlinear systems with inputs | Automatica | Lucian Cristian Iacob Roland Tóth Maarten Schoukens | 2024/4/1 |
State Derivative Normalization for Continuous-Time Deep Neural Networks | arXiv preprint arXiv:2401.02902 | Jonas Weigand Gerben I Beintema Jonas Ulmen Daniel Görges Roland Tóth | 2024/1/5 |
LFR-based data-driven model augmentation of physical models | Jan H Hoekstra C Verhoek Roland Tóth Maarten Schoukens | 2024/3 | |
Output error port-Hamiltonian neural networks: Cascaded tanks system with overflow | Sarvin Moradi GI Beintema NO Jaensson Roland Tóth Maarten Schoukens | 2024/4/24 | |
Physics-Guided State-Space Neural Networks for Data-Weighted Model Augmentation | Yuhan Liua Roland Tótha Maarten Schoukensa | 2024/3/26 | |
Learning-based model augmentation for cascaded tanks | Jan H Hoekstra C Verhoek Roland Tóth Maarten Schoukens | 2024 | |
Convex Equilibrium-Free Stability and Performance Analysis of Discrete-Time Nonlinear Systems | arXiv preprint arXiv:2402.09870 | Patrick JW Koelewijn Siep Weiland Roland Tóth | 2024/2/15 |
Kernel-based learning of stable nonlinear state-space models | MF Shakib Roland Tóth AY Pogromsky A Pavlov Nathan van de Wouw | 2023/12/13 | |
Learning Reduced-Order Linear Parameter-Varying Models of Nonlinear Systems | arXiv preprint arXiv:2312.06217 | Patrick JW Koelewijn Rajiv Sing Peter Seiler Roland Tóth | 2023/12/11 |
Co-Authors
