Roland Tóth

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 156

Top Venues

Publications

Péter Antal, Tamás Péni, Roland Tóth
Computationally Efficient Sampling-Based Algorithm for Stability Analysis of Nonlinear Systems. ECC (2024)
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)
Patrick J. W. Koelewijn, Siep Weiland, Roland Tóth
Convex Equilibrium-Free Stability and Performance Analysis of Discrete-Time Nonlinear Systems. CoRR (2024)
Péter Antal, Tamás Péni, Roland Tóth
Backflipping With Miniature Quadcopters by Gaussian-Process-Based Control and Planning. IEEE Trans. Control. Syst. Technol. 32 (1) (2024)
Yuhan Liu, Pengyu Wang, Chang-Hun Lee, Roland Tóth
Attitude Takeover Control for Noncooperative Space Targets Based on Gaussian Processes With Online Model Learning. IEEE Trans. Aerosp. Electron. Syst. 60 (3) (2024)
Johan Kon, Jeroen van de Wijdeven, Dennis Bruijnen, Roland Tóth, Marcel Heertjes, Tom Oomen
Unconstrained Parameterization of Stable LPV Input-Output Models: with Application to System Identification. ECC (2024)
Jan H. Hoekstra, Chris Verhoek, Roland Tóth, Maarten Schoukens
Learning-based model augmentation with LFRs. CoRR (2024)
Johan Kon, Roland Tóth, Jeroen van de Wijdeven, Marcel Heertjes, Tom Oomen
Guaranteeing Stability in Structured Input-Output Models: With Application to System Identification. IEEE Control. Syst. Lett. 8 (2024)
Lucian-Cristian Iacob, Roland Tóth, Maarten Schoukens
Koopman form of nonlinear systems with inputs. Autom. 162 (2024)
Péter Antal, Tamás Péni, Roland Tóth
Computationally Efficient Sampling-Based Algorithm for Stability Analysis of Nonlinear Systems. CoRR (2024)
Johan Kon, Jeroen van de Wijdeven, Dennis Bruijnen, Roland Tóth, Marcel Heertjes, Tom Oomen
Unconstrained Parameterization of Stable LPV Input-Output Models: with Application to System Identification. CoRR (2024)
Kristóf Floch, Tamás Péni, Roland Tóth
Gaussian-Process-Based Adaptive Trajectory Tracking Control for Autonomous Ground Vehicles. ECC (2024)
Petar Bevanda, Bas Driessen, Lucian-Cristian Iacob, Roland Tóth, Stefan Sosnowski, Sandra Hirche
Nonparametric Control-Koopman Operator Learning: Flexible and Scalable Models for Prediction and Control. CoRR (2024)
L. M. Spin, Chris Verhoek, W. P. M. H. Heemels, Nathan van de Wouw, Roland Tóth
Unified Behavioral Data-Driven Performance Analysis A Generalized Plant Approach. ECC (2024)
Yorick Broens, Hans Butler, Roland Tóth
Frequency Domain Auto-tuning of Structured LPV Controllers for High-Precision Motion Control. CoRR (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)
E. Javier Olucha, Bogoljub Terzin, Amritam Das, Roland Tóth
On the reduction of Linear Parameter-Varying State-Space models. CoRR (2024)
Yuhan Liu, Roland Tóth, Maarten Schoukens
Physics-Guided State-Space Model Augmentation Using Weighted Regularized Neural Networks. CoRR (2024)
Chris Verhoek, Jaap Eising, Florian Dörfler, Roland Tóth
Decoupling parameter variation from noise: Biquadratic Lyapunov forms in data-driven LPV control. CoRR (2024)
Máté Kiss, Roland Tóth, Maarten Schoukens
Space-Filling Input Design for Nonlinear State-Space Identification. CoRR (2024)
Yorick Broens, Hans Butler, Roland Tóth
On Improved Commutation for Moving-Magnet Planar Actuators. IEEE Control. Syst. Lett. 7 (2023)
Chris Verhoek, Patrick J. W. Koelewijn, Sofie Haesaert, Roland Tóth
Direct Data-Driven State-Feedback Control of General Nonlinear Systems. CDC (2023)
Mihály Petreczky, Roland Tóth, Guillaume Mercère
LPV-ARX representations of LPV state-space models with affine dependence. Syst. Control. Lett. 173 (2023)
Yorick Broens, Hans Butler, Roland Tóth
On improved commutation for moving-magnet planar actuators. CoRR (2023)
Yuhan Liu, Pengyu Wang, Chang-Hun Lee, Roland Tóth
Attitude Takeover Control for Noncooperative Space Targets Based on Gaussian Processes with Online Model Learning. CoRR (2023)
Chris Verhoek, Ruigang Wang, Roland Tóth
Learning Stable and Robust Linear Parameter-Varying State-Space Models. CoRR (2023)
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)
Patrick J. W. Koelewijn, Rajiv Sing, Peter J. Seiler, Roland Tóth
Learning Reduced-Order Linear Parameter-Varying Models of Nonlinear Systems. CoRR (2023)
Péter Antal, Tamás Péni, Roland Tóth
Modelling, identification and geometric control of autonomous quadcopters for agile maneuvering. CoRR (2023)
Anantha Sai Hariharan Vinjarapu, Yorick Broens, Hans Butler, Roland Tóth
Exploring the use of deep learning in task-flexible ILC. CoRR (2023)
Chris Verhoek, Patrick J. W. Koelewijn, Sofie Haesaert, Roland Tóth
Direct data-driven state-feedback control of general nonlinear systems. CoRR (2023)
Johan Kon, Jeroen van de Wijdeven, Dennis Bruijnen, Roland Tóth, Marcel Heertjes, Tom Oomen
Direct Learning for Parameter-Varying Feedforward Control: A Neural-Network Approach. CoRR (2023)
Rishi Ramkannan, Gerben Izaak Beintema, Roland Tóth, Maarten Schoukens
Initialization Approach for Nonlinear State-Space Identification via the Subspace Encoder Approach. CoRR (2023)
Chris Verhoek, Patrick J. W. Koelewijn, Sofie Haesaert, Roland Tóth
Convex incremental dissipativity analysis of nonlinear systems. Autom. 150 (2023)
Chris Verhoek, Julian Berberich, Sofie Haesaert, Roland Tóth, Hossam S. Abbas
A Linear Parameter-Varying Approach to Data Predictive Control. CoRR (2023)
Chris Verhoek, Julian Berberich, Sofie Haesaert, Frank Allgöwer, Roland Tóth
Data-driven Dissipativity Analysis of Linear Parameter-Varying Systems. CoRR (2023)
Chris Verhoek, Ruigang Wang, Roland Tóth
Learning Stable and Robust Linear Parameter-Varying State-Space Models. CDC (2023)
Dhruv Khandelwal, Maarten Schoukens, Roland Tóth
Automated multi-objective system identification using grammar-based genetic programming. Autom. 154 (2023)
Patrick J. W. Koelewijn, Siep Weiland, Roland Tóth
Equilibrium-Independent Control of Continuous-Time Nonlinear Systems via the LPV Framework - Extended Version. CoRR (2023)
Sarvin Moradi, Nick Jaensson, Roland Tóth, Maarten Schoukens
Physics-Informed Learning Using Hamiltonian Neural Networks with Output Error Noise Models. CoRR (2023)
Lucian-Cristian Iacob, Maarten Schoukens, Roland Tóth
Finite Dimensional Koopman Form of Polynomial Nonlinear Systems. 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)
Arash Sadeghzadeh, Roland Tóth
Improved Embedding of Nonlinear Systems in Linear Parameter-Varying Models With Polynomial Dependence. IEEE Trans. Control. Syst. Technol. 31 (1) (2023)
Anantha Sai Hariharan Vinjarapu, Yorick Broens, Hans Butler, Roland Tóth
. ACC (2023)
Péter Antal, Tamás Péni, Roland Tóth
Payload Grasping and Transportation by a Quadrotor with a Hook-Based Manipulator. CoRR (2023)
Johan Kon, Jeroen van de Wijdeven, Dennis Bruijnen, Roland Tóth, Marcel Heertjes, Tom Oomen
Direct Learning for Parameter-Varying Feedforward Control: A Neural-Network Approach. CDC (2023)
Gergo Ignéczi, Erno Horváth, Roland Tóth, Krisztian Nyilas
Curve Trajectory Model for Human Preferred Path Planning of Automated Vehicles. CoRR (2023)
Gerben Izaak Beintema, Maarten Schoukens, Roland Tóth
Meta-State-Space Learning: An Identification Approach for Stochastic Dynamical Systems. CoRR (2023)
Mihály Petreczky, Roland Tóth, Guillaume Mercère
Minimal Realizations of Input-Output Behaviors by LPV State-Space Representations With Affine Dependence. IEEE Control. Syst. Lett. 7 (2023)
Birgit van Huijgevoort, Chris Verhoek, Roland Tóth, Sofie Haesaert
Direct data-driven signal temporal logic control of linear systems. CoRR (2023)
Yorick Broens, Hans Butler, Roland Tóth
. ACC (2022)
Yorick Broens, Hans Butler, Roland Tóth
On discretization of continuous-time LPV control solutions. CoRR (2022)
Tom Bloemers, Tom Oomen, Roland Tóth
Frequency Response Data-Driven LPV Controller Synthesis for MIMO Systems. IEEE Control. Syst. Lett. 6 (2022)
Chris Verhoek, Gerben Izaak Beintema, Sofie Haesaert, Maarten Schoukens, Roland Tóth
Deep-Learning-Based Identification of LPV Models for Nonlinear Systems. CoRR (2022)
Chris Verhoek, Roland Tóth, Hossam S. Abbas
Direct Data-Driven State-Feedback Control of Linear Parameter-Varying Systems. CoRR (2022)
Lucian-Cristian Iacob, Roland Tóth, Maarten Schoukens
Koopman Form of Nonlinear Systems with Inputs. CoRR (2022)
Yorick Broens, Hans Butler, Roland Tóth
LPV sequential loop closing for high-precision motion systems. CoRR (2022)
Peter Antal, Tamás Péni, Roland Tóth
Backflipping with Miniature Quadcopters by Gaussian Process Based Control and Planning. 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)
Matthis H. de Lange, Chris Verhoek, Valentin Preda, Roland Tóth
LPV Modeling of the Atmospheric Flight Dynamics of a Generic Parafoil Return Vehicle. CoRR (2022)
Chris Verhoek, Hossam S. Abbas, Roland Tóth
Direct data-driven LPV control of nonlinear systems: An experimental result. CoRR (2022)
Yuhan Liu, Pengyu Wang, Roland Tóth
Learning For Predictive Control: A Dual Gaussian Process Approach. CoRR (2022)
Yorick Broens, Hans Butler, Roland Tóth
control in high-precision mechatronics. CoRR (2022)
Tom Bloemers, Tom Oomen, Roland Tóth
Frequency Response Data-Based LPV Controller Synthesis Applied to a Control Moment Gyroscope. IEEE Trans. Control. Syst. Technol. 30 (6) (2022)
Lucian-Cristian Iacob, Roland Tóth, Maarten Schoukens
Optimal Synthesis of LTI Koopman Models for Nonlinear Systems with Inputs. CoRR (2022)
Gerben Izaak Beintema, Maarten Schoukens, Roland Tóth
Deep Subspace Encoders for Nonlinear System Identification. CoRR (2022)
Yorick Broens, Hans Butler, Roland Tóth
. CDC (2022)
Gerben Izaak Beintema, Maarten Schoukens, Roland Tóth
Deep subspace encoders for continuous-time state-space identification. CoRR (2022)
Chris Verhoek, Roland Tóth, Sofie Haesaert, Anne Koch
Fundamental Lemma for Data-Driven Analysis of Linear Parameter-Varying Systems. CDC (2021)
Patrick J. W. Koelewijn, Roland Tóth, Siep Weiland
Incremental Dissipativity based Control of Discrete-Time Nonlinear Systems via the LPV Framework. CDC (2021)
Lucian-Cristian Iacob, Gerben Izaak Beintema, Maarten Schoukens, Roland Tóth
Deep Identification of Nonlinear Systems in Koopman Form. CoRR (2021)
Patrick J. W. Koelewijn, Roland Tóth, Siep Weiland
Incremental Dissipativity based Control of Discrete-Time Nonlinear Systems via the LPV Framework. CoRR (2021)
Ioannis Proimadis, Yorick Broens, Roland Tóth, Hans Butler
Learning-based feedforward augmentation for steady state rejection of residual dynamics on a nanometer-accurate planar actuator system. CoRR (2021)
Yuhan Liu, Roland Tóth
Learning Based Model Predictive Control for Quadcopters with Dual Gaussian Process. CoRR (2021)
Clarisse Pétua Bosman Barros, Hans Butler, Roland Tóth
On the Use of the Smith-McMillan Form in Decoupling System Dynamics. CoRR (2021)
Ruigang Wang, Patrick J. W. Koelwijn, Ian R. Manchester, Roland Tóth
Nonlinear parameter-varying state-feedback design for a gyroscope using virtual control contraction metrics. CoRR (2021)
Clarisse Pétua Bosman Barros, Hans Butler, Roland Tóth
On the Use of the Smith-McMillan Form in Decoupling System Dynamics. ACC (2021)
Gerben Beintema, Roland Tóth, Maarten Schoukens
Nonlinear state-space identification using deep encoder networks. L4DC (2021)
Tom Bloemers, Roland Tóth, Tom Oomen
Frequency Response Data Based LPV Controller Synthesis Applied to a Control Moment Gyroscope. CoRR (2021)
Ioannis Proimadis, Yorick Broens, Roland Tóth, Hans Butler
Learning-based feedforward augmentation for steady state rejection of residual dynamics on a nanometer-accurate planar actuator system. L4DC (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)
Chris Verhoek, Roland Tóth, Sofie Haesaert, Anne Koch
Fundamental Lemma for Data-Driven Analysis of Linear Parameter-Varying Systems. CoRR (2021)
Chris Verhoek, Hossam S. Abbas, Roland Tóth, Sofie Haesaert
Data-Driven Predictive Control for Linear Parameter-Varying Systems. CoRR (2021)
Patrick J. W. Koelewijn, Roland Tóth
Incremental Stability and Performance Analysis of Discrete-Time Nonlinear Systems using the LPV Framework. CoRR (2021)
Yuhan Liu, Roland Tóth
Learning Based Model Predictive Control for Quadcopters with Dual Gaussian Process. CDC (2021)
Hossam S. Abbas, Roland Tóth, Mihály Petreczky, Nader Meskin, Javad Mohammadpour Velni, Patrick J. W. Koelewijn
LPV Modeling of Nonlinear Systems: A Multi-Path Feedback Linearization Approach. CoRR (2021)
Pepijn Bastiaan Cox, Roland Tóth
Linear parameter-varying subspace identification: A unified framework. Autom. 123 (2021)
Tom Bloemers, Roland Tóth, Tom Oomen
Frequency-Domain Data-Driven Controller Synthesis for Unstable LPV Systems. CoRR (2021)
Pascal den Boef, Pepijn B. Cox, Roland Tóth
LPVcore: MATLAB Toolbox for LPV Modelling, Identification and Control. CoRR (2021)
Lucian-Cristian Iacob, Gerben Izaak Beintema, Maarten Schoukens, Roland Tóth
Deep Identification of Nonlinear Systems in Koopman Form. CDC (2021)
Clarisse Pétua Bosman Barros, Hans Butler, Jeroen van de Wijdeven, Roland Tóth
On feedforward control of piezoelectric dual-stage actuator systems. CDC (2021)
Patrick J. W. Koelewijn, Roland Tóth, Henk Nijmeijer, Siep Weiland
Nonlinear Tracking and Rejection using Linear Parameter-Varying Control. CoRR (2021)
Jurre Hanema, Mircea Lazar, Roland Tóth
Heterogeneously parameterized tube model predictive control for LPV systems. Autom. 111 (2020)
Dhruv Khandelwal, Maarten Schoukens, Roland Tóth
A Tree Adjoining Grammar representation for models of stochastic dynamical systems. Autom. 119 (2020)
Patrick J. W. Koelewijn, Roland Tóth
Scheduling Dimension Reduction of LPV Models - A Deep Neural Network Approach. ACC (2020)
Maarten Schoukens, Roland Tóth
On the Initialization of Nonlinear LFR Model Identification with the Best Linear Approximation. CoRR (2020)
Zechen Liu, Zizhang Wu, Roland Tóth
SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation. CoRR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Roland Tóth