Roland Tóth - RankMe

266 papers A* 2B 1C 17Journal 178Unranked 68

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Behavioral Approach for LPV Data-Driven Representations. IEEE Trans. Autom. Control. Chris Verhoek, Ivan Markovsky, Sofie Haesaert, Roland Tóth
2026	J	`jnl`	A Linear Parameter-Varying Approach to Data Predictive Control. IEEE Trans. Autom. Control. Chris Verhoek, Julian Berberich, Sofie Haesaert, Roland Tóth, Hossam S. Abbas
2026	J	`jnl`	Amplitude Dependent Bode Diagrams via Scaled Relative Graphs. CoRR Julius P. J. Krebbekx, Roland Tóth, Amritam Das, Thomas Chaffey
2026	J	`jnl`	Bayesian Optimization Based Grid Point Allocation for LPV and Robust Control. CoRR E. Javier Olucha, Arash Sadeghzadeh, Amritam Das, Roland Tóth
2026	J	`jnl`	Direct data-driven interpolation and approximation of linear parameter-varying system trajectories. IFAC J. Syst. Control. Chris Verhoek, Ivan Markovsky, Roland Tóth
2026	J	`jnl`	Encoder initialisation methods in the model augmentation setting. CoRR Jan H. Hoekstra, Bendegúz M. Györök, Roland Tóth, Maarten Schoukens
2026	J	`jnl`	Gaussian-Process-Based Adaptive Tracking Control With Dynamic Active Learning for Autonomous Ground Vehicles. IEEE Trans. Control. Syst. Technol. Kristóf Floch, Tamás Péni, Roland Tóth
2026	J	`jnl`	Identification of Port-Hamiltonian Differential-Algebraic Equations from Input-Output Data. CoRR N. Hagelaars, G. J. E. van Otterdijk, Sarvin Moradi, Roland Tóth, Nick O. Jaensson, Maarten Schoukens
2026	J	`jnl`	Learning Surrogate LPV State-Space Models with Uncertainty Quantification. CoRR E. Javier Olucha, Valentin Preda, Amritam Das, Roland Tóth
2026	J	`jnl`	Learning-based augmentation of first-principle models: A linear fractional representation-based approach. CoRR Jan H. Hoekstra, Bendegúz M. Györök, Roland Tóth, Maarten Schoukens
2026	J	`jnl`	Orthogonal-by-construction augmentation of physics-based input-output models. IFAC J. Syst. Control. Bendegúz M. Györök, Maarten Schoukens, Tamás Péni, Roland Tóth
2026	J	`jnl`	Perceived personal and societal data harms shape users' data control preferences. Internet Policy Rev. Emilija Gagrcin, Roland Tóth, Nadja Schaetz, Teresa Naab, Martin Emmer
2026	J	`jnl`	Port-Hamiltonian neural networks with output error noise models. Autom. Sarvin Moradi, Gerben Izaak Beintema, Nick O. Jaensson, Roland Tóth, Maarten Schoukens
2026	J	`jnl`	The most powerful unfalsified linear parameter-varying model. Autom. Ivan Markovsky, Chris Verhoek, Roland Tóth
2026	J	`jnl`	Unconstrained Parametrizations of Discrete-Time Linear Input-Output Models: Stability and Dissipativity by Construction. IEEE Trans. Autom. Control. Johan Kon, Roland Tóth, Jeroen van de Wijdeven, Marcel Heertjes, Tom Oomen
2025	J	`jnl`	A Direct State-Space Realization of Discrete-Time Linear Parameter-Varying Input-Output Models. CoRR Johan Kon, Roland Tóth, Jeroen van de Wijdeven, Marcel Heertjes, Tom Oomen
2025	J	`jnl`	Algorithm dependency in platformized news use. New Media Soc. Nadja Schaetz, Emilija Gagrcin, Roland Tóth, Martin Emmer
2025	J	`jnl`	Automated Linear Parameter-Varying Modeling of Nonlinear Systems: A Global Embedding Approach. CoRR E. Javier Olucha, Patrick J. W. Koelewijn, Amritam Das, Roland Tóth
2025	J	`jnl`	Autonomous Hook-Based Grasping and Transportation With Quadcopters. IEEE Trans. Control. Syst. Technol. Péter Antal, Tamás Péni, Roland Tóth
2025	J	`jnl`	Computing the Hard Scaled Relative Graph of LTI Systems. CoRR Julius P. J. Krebbekx, Eder Baron-Prada, Roland Tóth, Amritam Das
2025	J	`jnl`	Direct data-driven interpolation and approximation of linear parameter-varying system trajectories. CoRR Chris Verhoek, Ivan Markovsky, Roland Tóth
2025	J	`jnl`	Efficient identification of linear, parameter-varying, and nonlinear systems with noise models. CoRR Alberto Bemporad, Roland Tóth
2025	J	`jnl`	Equilibrium-Independent Control of Continuous-Time Nonlinear Systems via the LPV Framework. IEEE Trans. Autom. Control. Patrick J. W. Koelewijn, Siep Weiland, Roland Tóth
2025	J	`jnl`	Exact Finite Koopman Embedding of Block-Oriented Polynomial Systems. CoRR Lucian-Cristian Iacob, Roland Tóth, Maarten Schoukens
2025	J	`jnl`	Gaussian-Process-based Adaptive Tracking Control with Dynamic Active Learning for Autonomous Ground Vehicles. CoRR Kristóf Floch, Tamás Péni, Roland Tóth
2025	J	`jnl`	Graphical Analysis of Nonlinear Multivariable Feedback Systems. CoRR Julius P. J. Krebbekx, Roland Tóth, Amritam Das
2025	A*	`conf`	Hook-Based Aerial Payload Grasping from a Moving Platform. ICRA Péter Antal, Tamás Péni, Roland Tóth
2025	J	`jnl`	Learning Koopman Models From Data Under General Noise Conditions. CoRR Lucian-Cristian Iacob, Máté Szécsi, Gerben Izaak Beintema, Maarten Schoukens, Roland Tóth
2025	—	`conf`	Learning Subsystem Dynamics in Nonlinear Systems via Port-Hamiltonian Neural Networks. CDC G. J. E. van Otterdijk, Sarvin Moradi, Siep Weiland, Roland Tóth, Nick O. Jaensson, Maarten Schoukens
2025	J	`jnl`	Learning for predictive control: A Dual Gaussian Process approach. Autom. Yuhan Liu, Pengyu Wang, Roland Tóth
2025	J	`jnl`	Learning-based model augmentation with LFRs. Eur. J. Control Jan H. Hoekstra, Chris Verhoek, Roland Tóth, Maarten Schoukens
2025	J	`jnl`	Modeling Human Lane Following Behavior. IEEE Access Gergo Ferenc Ignéczi, Roland Tóth, Erno Horváth, Krisztian Nyilas
2025	—	`conf`	Nonlinear Bandwidth and Bode Diagrams based on Scaled Relative Graphs. CDC Julius P. J. Krebbekx, Roland Tóth, Amritam Das
2025	J	`jnl`	Nonlinear Bandwidth and Bode Diagrams based on Scaled Relative Graphs. CoRR Julius P. J. Krebbekx, Roland Tóth, Amritam Das
2025	J	`jnl`	On Space-Filling Input Design for Nonlinear Dynamic Model Learning: A Gaussian Process Approach. CoRR Yuhan Liu, Máté Kiss, Roland Tóth, Maarten Schoukens
2025	J	`jnl`	On Space-Filling Input Design for Nonlinear Dynamic Model Learning: A Gaussian Process Approach. IEEE Control. Syst. Lett. Yuhan Liu, Máté Kiss, Roland Tóth, Maarten Schoukens
2025	—	`conf`	On-the-fly Surrogation for Complex Nonlinear Dynamics CDC E. Javier Olucha, Rajiv Singh, Amritam Das, Roland Tóth
2025	J	`jnl`	On-the-fly Surrogation for Complex Nonlinear Dynamics. CoRR E. Javier Olucha, Rajiv Singh, Amritam Das, Roland Tóth
2025	C	`conf`	Online Learning of Interaction Dynamics with Dual Model Predictive Control for Multi-Agent Systems Using Gaussian Processes. ACC T. M. J. T. Baltussen, Erjen Lefeber, Roland Tóth, W. P. M. H. Heemels, Alexander Katriniok
2025	—	`conf`	Orthogonal projection-based regularization for efficient model augmentation. L4DC Bendegúz M. Györök, Jan H. Hoekstra, Johan Kon, Tamas Peni, Maarten Schoukens, Roland Tóth
2025	J	`jnl`	Orthogonal projection-based regularization for efficient model augmentation. CoRR Bendegúz M. Györök, Jan H. Hoekstra, Johan Kon, Tamás Péni, Maarten Schoukens, Roland Tóth
2025	J	`jnl`	Orthogonal-by-construction augmentation of physics-based input-output models. CoRR Bendegúz M. Györök, Maarten Schoukens, Tamás Péni, Roland Tóth
2025	J	`jnl`	Port-Hamiltonian Neural Networks with Output Error Noise Models. CoRR Sarvin Moradi, Gerben Izaak Beintema, Nick O. Jaensson, Roland Tóth, Maarten Schoukens
2025	J	`jnl`	Reset Controller Analysis and Design for Unstable Linear Plants using Scaled Relative Graphs. CoRR Julius P. J. Krebbekx, Roland Tóth, Amritam Das
2025	J	`jnl`	Robust Model Predictive Control for Spacecraft Rendezvous Under Sector-Bounded Nonlinearities. IEEE Control. Syst. Lett. Akos Mark Bokor, Felix Biertümpfel, Peter Seiler, Roland Tóth
2025	J	`jnl`	Scaled Relative Graph Analysis of General Interconnections of SISO Nonlinear Systems. CoRR Julius P. J. Krebbekx, Roland Tóth, Amritam Das
2025	—	`conf`	Scaled Relative Graph Analysis of Lur'e Systems and the Generalized Circle Criterion. ECC Julius P. J. Krebbekx, Roland Tóth, Amritam Das
2025	J	`jnl`	Tensor-based reduction of linear parameter-varying state-space models. CoRR Bogoljub Terzin, E. Javier Olucha, Amritam Das, Siep Weiland, Roland Tóth
2025	J	`jnl`	Unifying Sequential Quadratic Programming and Linear-Parameter-Varying Algorithms for Real-Time Model Predictive Control. CoRR Kristóf Floch, Amon Lahr, Roland Tóth, Melanie N. Zeilinger
2024	J	`jnl`	Attitude Takeover Control for Noncooperative Space Targets Based on Gaussian Processes With Online Model Learning. IEEE Trans. Aerosp. Electron. Syst. Yuhan Liu, Pengyu Wang, Chang-Hun Lee, Roland Tóth
2024	J	`jnl`	Backflipping With Miniature Quadcopters by Gaussian-Process-Based Control and Planning. IEEE Trans. Control. Syst. Technol. Péter Antal, Tamás Péni, Roland Tóth
2024	J	`jnl`	Baseline Results for Selected Nonlinear System Identification Benchmarks. CoRR Max D. Champneys, Gerben Izaak Beintema, Roland Tóth, Maarten Schoukens, Timothy J. Rogers
2024	—	`conf`	Computationally Efficient Sampling-Based Algorithm for Stability Analysis of Nonlinear Systems. ECC Péter Antal, Tamás Péni, Roland Tóth
2024	J	`jnl`	Computationally Efficient Sampling-Based Algorithm for Stability Analysis of Nonlinear Systems. CoRR Péter Antal, Tamás Péni, Roland Tóth
2024	J	`jnl`	Convex Equilibrium-Free Stability and Performance Analysis of Discrete-Time Nonlinear Systems. CoRR Patrick J. W. Koelewijn, Siep Weiland, Roland Tóth
2024	J	`jnl`	Data-Driven Dissipativity Analysis of Linear Parameter-Varying Systems. IEEE Trans. Autom. Control. Chris Verhoek, Julian Berberich, Sofie Haesaert, Frank Allgöwer, Roland Tóth
2024	—	`conf`	Decoupling parameter variation from noise: Biquadratic Lyapunov forms in data-driven LPV control. CDC Chris Verhoek, Jaap Eising, Florian Dörfler, Roland Tóth
2024	J	`jnl`	Decoupling parameter variation from noise: Biquadratic Lyapunov forms in data-driven LPV control. CoRR Chris Verhoek, Jaap Eising, Florian Dörfler, Roland Tóth
2024	—	`conf`	Direct data-driven control with signal temporal logic specifications. ADHS B. C. van Huijgevoort, Chris Verhoek, Roland Tóth, Sofie Haesaert
2024	—	`conf`	Frequency Domain Auto-tuning of Structured LPV Controllers for High-Precision Motion Control. CDC Yorick Broens, Hans Butler, Roland Tóth
2024	J	`jnl`	Frequency Domain Auto-tuning of Structured LPV Controllers for High-Precision Motion Control. CoRR Yorick Broens, Hans Butler, Roland Tóth
2024	—	`conf`	Gaussian-Process-Based Adaptive Trajectory Tracking Control for Autonomous Ground Vehicles. ECC Kristóf Floch, Tamás Péni, Roland Tóth
2024	J	`jnl`	Guaranteeing Stability in Structured Input-Output Models: With Application to System Identification. IEEE Control. Syst. Lett. Johan Kon, Roland Tóth, Jeroen van de Wijdeven, Marcel Heertjes, Tom Oomen
2024	J	`jnl`	Hook-Based Aerial Payload Grasping from a Moving Platform. CoRR Péter Antal, Tamás Péni, Roland Tóth
2024	J	`jnl`	Kernel-based multi-step predictors for data-driven analysis and control of nonlinear systems through the velocity form. CoRR Chris Verhoek, Roland Tóth
2024	J	`jnl`	Koopman form of nonlinear systems with inputs. Autom. Lucian-Cristian Iacob, Roland Tóth, Maarten Schoukens
2024	J	`jnl`	Learning Subsystem Dynamics in Nonlinear Systems via Port-Hamiltonian Neural Networks. CoRR G. J. E. van Otterdijk, Sarvin Moradi, Siep Weiland, Roland Tóth, Nick O. Jaensson, Maarten Schoukens
2024	J	`jnl`	Learning-based model augmentation with LFRs. CoRR Jan H. Hoekstra, Chris Verhoek, Roland Tóth, Maarten Schoukens
2024	J	`jnl`	Meta-state-space learning: An identification approach for stochastic dynamical systems. Autom. Gerben Izaak Beintema, Maarten Schoukens, Roland Tóth
2024	J	`jnl`	Nonparametric Control-Koopman Operator Learning: Flexible and Scalable Models for Prediction and Control. CoRR Petar Bevanda, Bas Driessen, Lucian-Cristian Iacob, Roland Tóth, Stefan Sosnowski, Sandra Hirche
2024	J	`jnl`	On the reduction of Linear Parameter-Varying State-Space models. CoRR E. Javier Olucha, Bogoljub Terzin, Amritam Das, Roland Tóth
2024	J	`jnl`	Physics-Guided State-Space Model Augmentation Using Weighted Regularized Neural Networks. CoRR Yuhan Liu, Roland Tóth, Maarten Schoukens
2024	J	`jnl`	SRG Analysis of Lur'e Systems and the Generalized Circle Criterion. CoRR Julius P. J. Krebbekx, Roland Tóth, Amritam Das
2024	J	`jnl`	Space-Filling Input Design for Nonlinear State-Space Identification. CoRR Máté Kiss, Roland Tóth, Maarten Schoukens
2024	J	`jnl`	State Derivative Normalization for Continuous-Time Deep Neural Networks. CoRR Jonas Weigand, Gerben Izaak Beintema, Jonas Ulmen, Daniel Görges, Roland Tóth, Maarten Schoukens, Martin Ruskowski
2024	J	`jnl`	The behavioral approach for LPV data-driven representations. CoRR Chris Verhoek, Ivan Markovsky, Sofie Haesaert, Roland Tóth
2024	—	`conf`	Unconstrained Parameterization of Stable LPV Input-Output Models: with Application to System Identification. ECC Johan Kon, Jeroen van de Wijdeven, Dennis Bruijnen, Roland Tóth, Marcel Heertjes, Tom Oomen
2024	J	`jnl`	Unconstrained Parameterization of Stable LPV Input-Output Models: with Application to System Identification. CoRR Johan Kon, Jeroen van de Wijdeven, Dennis Bruijnen, Roland Tóth, Marcel Heertjes, Tom Oomen
2024	—	`conf`	Unified Behavioral Data-Driven Performance Analysis A Generalized Plant Approach. ECC L. M. Spin, Chris Verhoek, W. P. M. H. Heemels, Nathan van de Wouw, Roland Tóth
2024	J	`jnl`	Vibration Control Under Frequency-Varying Disturbances With Application to Satellites. IEEE Trans. Control. Syst. Technol. Tom Bloemers, Sjoerd Leemrijse, Valentin Preda, Fabrice Boquet, Tom Oomen, Roland Tóth
2023	J	`jnl`	A Linear Parameter-Varying Approach to Data Predictive Control. CoRR Chris Verhoek, Julian Berberich, Sofie Haesaert, Roland Tóth, Hossam S. Abbas
2023	J	`jnl`	Attitude Takeover Control for Noncooperative Space Targets Based on Gaussian Processes with Online Model Learning. CoRR Yuhan Liu, Pengyu Wang, Chang-Hun Lee, Roland Tóth
2023	J	`jnl`	Automated multi-objective system identification using grammar-based genetic programming. Autom. Dhruv Khandelwal, Maarten Schoukens, Roland Tóth
2023	—	`conf`	Computationally Efficient Predictive Control Based on ANN State-Space Models. CDC Jan H. Hoekstra, Bence Cseppento, Gerben Izaak Beintema, Maarten Schoukens, Zsolt Kollár, Roland Tóth
2023	J	`jnl`	Computationally efficient predictive control based on ANN state-space models. CoRR Jan H. Hoekstra, Bence Cseppento, Gerben Izaak Beintema, Maarten Schoukens, Zsolt Kollár, Roland Tóth
2023	A*	`conf`	Continuous-time identification of dynamic state-space models by deep subspace encoding. ICLR Gerben Izaak Beintema, Maarten Schoukens, Roland Tóth
2023	J	`jnl`	Convex incremental dissipativity analysis of nonlinear systems. Autom. Chris Verhoek, Patrick J. W. Koelewijn, Sofie Haesaert, Roland Tóth
2023	J	`jnl`	Curve Trajectory Model for Human Preferred Path Planning of Automated Vehicles. CoRR Gergo Ferenc Ignéczi, Erno Horváth, Roland Tóth, Krisztian Nyilas
2023	J	`jnl`	Data-driven Dissipativity Analysis of Linear Parameter-Varying Systems. CoRR Chris Verhoek, Julian Berberich, Sofie Haesaert, Frank Allgöwer, Roland Tóth
2023	J	`jnl`	Deep subspace encoders for nonlinear system identification. Autom. Gerben Izaak Beintema, Maarten Schoukens, Roland Tóth
2023	—	`conf`	Direct Data-Driven State-Feedback Control of General Nonlinear Systems. CDC Chris Verhoek, Patrick J. W. Koelewijn, Sofie Haesaert, Roland Tóth
2023	—	`conf`	Direct Learning for Parameter-Varying Feedforward Control: A Neural-Network Approach. CDC Johan Kon, Jeroen van de Wijdeven, Dennis Bruijnen, Roland Tóth, Marcel Heertjes, Tom Oomen
2023	J	`jnl`	Direct Learning for Parameter-Varying Feedforward Control: A Neural-Network Approach. CoRR Johan Kon, Jeroen van de Wijdeven, Dennis Bruijnen, Roland Tóth, Marcel Heertjes, Tom Oomen
2023	J	`jnl`	Direct data-driven signal temporal logic control of linear systems. CoRR Birgit van Huijgevoort, Chris Verhoek, Roland Tóth, Sofie Haesaert
2023	J	`jnl`	Direct data-driven state-feedback control of general nonlinear systems. CoRR Chris Verhoek, Patrick J. W. Koelewijn, Sofie Haesaert, Roland Tóth
2023	J	`jnl`	Equilibrium-Independent Control of Continuous-Time Nonlinear Systems via the LPV Framework - Extended Version. CoRR Patrick J. W. Koelewijn, Siep Weiland, Roland Tóth
2023	C	`conf`	Exploring the use of deep learning in task-flexible ILC ACC Anantha Sai Hariharan Vinjarapu, Yorick Broens, Hans Butler, Roland Tóth
2023	J	`jnl`	Exploring the use of deep learning in task-flexible ILC. CoRR Anantha Sai Hariharan Vinjarapu, Yorick Broens, Hans Butler, Roland Tóth
2023	J	`jnl`	Finite Dimensional Koopman Form of Polynomial Nonlinear Systems. CoRR Lucian-Cristian Iacob, Maarten Schoukens, Roland Tóth
2023	J	`jnl`	Improved Embedding of Nonlinear Systems in Linear Parameter-Varying Models With Polynomial Dependence. IEEE Trans. Control. Syst. Technol. Arash Sadeghzadeh, Roland Tóth
2023	J	`jnl`	Initialization Approach for Nonlinear State-Space Identification via the Subspace Encoder Approach. CoRR Rishi Ramkannan, Gerben Izaak Beintema, Roland Tóth, Maarten Schoukens
2023	—	`conf`	Kernel-Based Learning of Stable Nonlinear State-Space Models. CDC Mohammad Fahim Shakib, Roland Tóth, Alexander Yu. Pogromsky, A. Pavlov, Nathan van de Wouw
2023	J	`jnl`	LPV-ARX representations of LPV state-space models with affine dependence. Syst. Control. Lett. Mihály Petreczky, Roland Tóth, Guillaume Mercère
2023	J	`jnl`	Learning Reduced-Order Linear Parameter-Varying Models of Nonlinear Systems. CoRR Patrick J. W. Koelewijn, Rajiv Sing, Peter J. Seiler, Roland Tóth
2023	—	`conf`	Learning Stable and Robust Linear Parameter-Varying State-Space Models. CDC Chris Verhoek, Ruigang Wang, Roland Tóth
2023	J	`jnl`	Learning Stable and Robust Linear Parameter-Varying State-Space Models. CoRR Chris Verhoek, Ruigang Wang, Roland Tóth
2023	J	`jnl`	Meta-State-Space Learning: An Identification Approach for Stochastic Dynamical Systems. CoRR Gerben Izaak Beintema, Maarten Schoukens, Roland Tóth
2023	J	`jnl`	Minimal Realizations of Input-Output Behaviors by LPV State-Space Representations With Affine Dependence. IEEE Control. Syst. Lett. Mihály Petreczky, Roland Tóth, Guillaume Mercère
2023	J	`jnl`	Modelling, identification and geometric control of autonomous quadcopters for agile maneuvering. CoRR Péter Antal, Tamás Péni, Roland Tóth
2023	J	`jnl`	On Improved Commutation for Moving-Magnet Planar Actuators. IEEE Control. Syst. Lett. Yorick Broens, Hans Butler, Roland Tóth
2023	J	`jnl`	On improved commutation for moving-magnet planar actuators. CoRR Yorick Broens, Hans Butler, Roland Tóth
2023	J	`jnl`	Payload Grasping and Transportation by a Quadrotor with a Hook-Based Manipulator. CoRR Péter Antal, Tamás Péni, Roland Tóth
2023	J	`jnl`	Physics-Informed Learning Using Hamiltonian Neural Networks with Output Error Noise Models. CoRR Sarvin Moradi, Nick O. Jaensson, Roland Tóth, Maarten Schoukens
2023	J	`jnl`	Unified Behavioral Data-Driven Performance Analysis: A Generalized Plant Approach. CoRR L. M. Spin, Chris Verhoek, W. P. Maurice H. Heemels, Nathan van de Wouw, Roland Tóth
2022	J	`jnl`	Backflipping with Miniature Quadcopters by Gaussian Process Based Control and Planning. CoRR Peter Antal, Tamás Péni, Roland Tóth
2022	J	`jnl`	Deep Subspace Encoders for Nonlinear System Identification. CoRR Gerben Izaak Beintema, Maarten Schoukens, Roland Tóth
2022	J	`jnl`	Deep subspace encoders for continuous-time state-space identification. CoRR Gerben Izaak Beintema, Maarten Schoukens, Roland Tóth
2022	—	`conf`	Deep-Learning-Based Identification of LPV Models for Nonlinear Systems. CDC Chris Verhoek, Gerben Izaak Beintema, Sofie Haesaert, Maarten Schoukens, Roland Tóth
2022	J	`jnl`	Deep-Learning-Based Identification of LPV Models for Nonlinear Systems. CoRR Chris Verhoek, Gerben Izaak Beintema, Sofie Haesaert, Maarten Schoukens, Roland Tóth
2022	J	`jnl`	Direct Data-Driven State-Feedback Control of Linear Parameter-Varying Systems. CoRR Chris Verhoek, Roland Tóth, Hossam S. Abbas
2022	J	`jnl`	Direct data-driven LPV control of nonlinear systems: An experimental result. CoRR Chris Verhoek, Hossam S. Abbas, Roland Tóth
2022	J	`jnl`	Frequency Response Data-Based LPV Controller Synthesis Applied to a Control Moment Gyroscope. IEEE Trans. Control. Syst. Technol. Tom Bloemers, Tom Oomen, Roland Tóth
2022	J	`jnl`	Frequency Response Data-Driven LPV Controller Synthesis for MIMO Systems. IEEE Control. Syst. Lett. Tom Bloemers, Tom Oomen, Roland Tóth
2022	J	`jnl`	Koopman Form of Nonlinear Systems with Inputs. CoRR Lucian-Cristian Iacob, Roland Tóth, Maarten Schoukens
2022	J	`jnl`	LPV Modeling of the Atmospheric Flight Dynamics of a Generic Parafoil Return Vehicle. CoRR Matthis H. de Lange, Chris Verhoek, Valentin Preda, Roland Tóth
2022	C	`conf`	LPV sequential loop closing for high-precision motion systems ACC Yorick Broens, Hans Butler, Roland Tóth
2022	J	`jnl`	LPV sequential loop closing for high-precision motion systems. CoRR Yorick Broens, Hans Butler, Roland Tóth
2022	J	`jnl`	Learning For Predictive Control: A Dual Gaussian Process Approach. CoRR Yuhan Liu, Pengyu Wang, Roland Tóth
2022	J	`jnl`	On discretization of continuous-time LPV control solutions. CoRR Yorick Broens, Hans Butler, Roland Tóth
2022	J	`jnl`	On modal observers for beyond rigid body H CoRR Yorick Broens, Hans Butler, Roland Tóth
2022	—	`conf`	On modal observers for beyond rigid body H∞ control in high-precision mechatronics CDC Yorick Broens, Hans Butler, Roland Tóth
2022	J	`jnl`	Optimal Synthesis of LTI Koopman Models for Nonlinear Systems with Inputs. CoRR Lucian-Cristian Iacob, Roland Tóth, Maarten Schoukens
2021	J	`jnl`	Data-Driven Predictive Control for Linear Parameter-Varying Systems. CoRR Chris Verhoek, Hossam S. Abbas, Roland Tóth, Sofie Haesaert
2021	—	`conf`	Deep Identification of Nonlinear Systems in Koopman Form. CDC Lucian-Cristian Iacob, Gerben Izaak Beintema, Maarten Schoukens, Roland Tóth
2021	J	`jnl`	Deep Identification of Nonlinear Systems in Koopman Form. CoRR Lucian-Cristian Iacob, Gerben Izaak Beintema, Maarten Schoukens, Roland Tóth
2021	J	`jnl`	Frequency Response Data Based LPV Controller Synthesis Applied to a Control Moment Gyroscope. CoRR Tom Bloemers, Roland Tóth, Tom Oomen
2021	J	`jnl`	Frequency-Domain Data-Driven Controller Synthesis for Unstable LPV Systems. CoRR Tom Bloemers, Roland Tóth, Tom Oomen
2021	—	`conf`	Fundamental Lemma for Data-Driven Analysis of Linear Parameter-Varying Systems. CDC Chris Verhoek, Roland Tóth, Sofie Haesaert, Anne Koch
2021	J	`jnl`	Fundamental Lemma for Data-Driven Analysis of Linear Parameter-Varying Systems. CoRR Chris Verhoek, Roland Tóth, Sofie Haesaert, Anne Koch
2021	J	`jnl`	Identification of the nonlinear steering dynamics of an autonomous vehicle. CoRR Gábor Rödönyi, Gerben Izaak Beintema, Roland Tóth, Maarten Schoukens, Daniel Pup, Ádám Kisari, Zs. Vígh, Péter Korös, Alexandros Soumelidis, József Bokor
2021	—	`conf`	Incremental Dissipativity based Control of Discrete-Time Nonlinear Systems via the LPV Framework. CDC Patrick J. W. Koelewijn, Roland Tóth, Siep Weiland
2021	J	`jnl`	Incremental Dissipativity based Control of Discrete-Time Nonlinear Systems via the LPV Framework. CoRR Patrick J. W. Koelewijn, Roland Tóth, Siep Weiland
2021	J	`jnl`	Incremental Stability and Performance Analysis of Discrete-Time Nonlinear Systems using the LPV Framework. CoRR Patrick J. W. Koelewijn, Roland Tóth
2021	J	`jnl`	LPV Modeling of Nonlinear Systems: A Multi-Path Feedback Linearization Approach. CoRR Hossam S. Abbas, Roland Tóth, Mihály Petreczky, Nader Meskin, Javad Mohammadpour Velni, Patrick J. W. Koelewijn
2021	J	`jnl`	LPVcore: MATLAB Toolbox for LPV Modelling, Identification and Control. CoRR Pascal den Boef, Pepijn B. Cox, Roland Tóth
2021	—	`conf`	Learning Based Model Predictive Control for Quadcopters with Dual Gaussian Process. CDC Yuhan Liu, Roland Tóth
2021	J	`jnl`	Learning Based Model Predictive Control for Quadcopters with Dual Gaussian Process. CoRR Yuhan Liu, Roland Tóth
2021	—	`conf`	Learning-based feedforward augmentation for steady state rejection of residual dynamics on a nanometer-accurate planar actuator system. L4DC Ioannis Proimadis, Yorick Broens, Roland Tóth, Hans Butler
2021	J	`jnl`	Learning-based feedforward augmentation for steady state rejection of residual dynamics on a nanometer-accurate planar actuator system. CoRR Ioannis Proimadis, Yorick Broens, Roland Tóth, Hans Butler
2021	J	`jnl`	Linear parameter-varying subspace identification: A unified framework. Autom. Pepijn Bastiaan Cox, Roland Tóth
2021	J	`jnl`	Nonlinear Tracking and Rejection using Linear Parameter-Varying Control. CoRR Patrick J. W. Koelewijn, Roland Tóth, Henk Nijmeijer, Siep Weiland
2021	J	`jnl`	Nonlinear parameter-varying state-feedback design for a gyroscope using virtual control contraction metrics. CoRR Ruigang Wang, Patrick J. W. Koelwijn, Ian R. Manchester, Roland Tóth
2021	—	`conf`	Nonlinear state-space identification using deep encoder networks. L4DC Gerben Beintema, Roland Tóth, Maarten Schoukens
2021	—	`conf`	On feedforward control of piezoelectric dual-stage actuator systems. CDC Clarisse Pétua Bosman Barros, Hans Butler, Jeroen van de Wijdeven, Roland Tóth
2021	C	`conf`	On the Use of the Smith-McMillan Form in Decoupling System Dynamics. ACC Clarisse Pétua Bosman Barros, Hans Butler, Roland Tóth
2021	J	`jnl`	On the Use of the Smith-McMillan Form in Decoupling System Dynamics. CoRR Clarisse Pétua Bosman Barros, Hans Butler, Roland Tóth
2020	J	`jnl`	A Tree Adjoining Grammar Representation for Models Of Stochastic Dynamical Systems. CoRR Dhruv Khandelwal, Maarten Schoukens, Roland Tóth
2020	J	`jnl`	A Tree Adjoining Grammar representation for models of stochastic dynamical systems. Autom. Dhruv Khandelwal, Maarten Schoukens, Roland Tóth
2020	J	`jnl`	Affine Linear Parameter-Varying Embedding of Nonlinear Models with Improved Accuracy and Minimal Overbounding. CoRR Arash Sadeghzadeh, Bardia Sharif, Roland Tóth
2020	J	`jnl`	Convex Incremental Dissipativity Analysis of Nonlinear Systems. CoRR Chris Verhoek, Patrick J. W. Koelewijn, Roland Tóth
2020	J	`jnl`	Heterogeneously parameterized tube model predictive control for LPV systems. Autom. Jurre Hanema, Mircea Lazar, Roland Tóth
2020	J	`jnl`	Linear Parameter-Varying Embedding of Nonlinear Models with Reduced Conservativeness. CoRR Arash Sadeghzadeh, Roland Tóth
2020	J	`jnl`	Linear Parameter-Varying Subspace Identification: A Unified Framework. CoRR Pepijn B. Cox, Roland Tóth
2020	J	`jnl`	Non-linear State-space Model Identification from Video Data using Deep Encoders. CoRR Gerben Izaak Beintema, Roland Tóth, Maarten Schoukens
2020	J	`jnl`	Nonlinear state-space identification using deep encoder networks. CoRR Gerben Beintema, Roland Tóth, Maarten Schoukens
2020	J	`jnl`	On the Initialization of Nonlinear LFR Model Identification with the Best Linear Approximation. CoRR Maarten Schoukens, Roland Tóth
2020	—	`conf`	Pitfalls of Guaranteeing Asymptotic Stability in LPV Control of Nonlinear Systems. ECC P. J. W. Koelewijn, G. Sales Mazzoccante, Roland Tóth, Siep Weiland
2020	J	`jnl`	Pitfalls of Guaranteeing Asymptotic Stability in LPV Control of Nonlinear Systems. CoRR P. J. W. Koelewijn, G. Sales Mazzoccante, Roland Tóth, Siep Weiland
2020	—	`conf`	SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation. CVPR Workshops Zechen Liu, Zizhang Wu, Roland Tóth
2020	J	`jnl`	SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation. CoRR Zechen Liu, Zizhang Wu, Roland Tóth
2020	C	`conf`	Scheduling Dimension Reduction of LPV Models - A Deep Neural Network Approach. ACC Patrick J. W. Koelewijn, Roland Tóth
2020	J	`jnl`	Scheduling Dimension Reduction of LPV Models - A Deep Neural Network Approach. CoRR P. J. W. Koelewijn, Roland Tóth
2020	J	`jnl`	Sparse RKHS estimation via globally convex optimization and its application in LPV-IO identification. Autom. Vincent Laurain, Roland Tóth, Dario Piga, Mohamed Abdelmonim Hassan Darwish
2020	J	`jnl`	Toolbox for Discovering Dynamic System Relations via TAG Guided Genetic Programming. CoRR Stefan-Cristian Nechita, Roland Tóth, Dhruv Khandelwal, Maarten Schoukens
2020	J	`jnl`	Virtual Control Contraction Metrics: Convex Nonlinear Feedback Design via Behavioral Embedding. CoRR Ruigang Wang, Roland Tóth, Ian R. Manchester
2019	J	`jnl`	A Comparison of LPV Gain Scheduling and Control Contraction Metrics for Nonlinear Control. CoRR Ruigang Wang, Roland Tóth, Ian R. Manchester
2019	B	`conf`	Data-driven Modelling of Dynamical Systems Using Tree Adjoining Grammar and Genetic Programming. CEC Dhruv Khandelwal, Maarten Schoukens, Roland Tóth
2019	J	`jnl`	Data-driven Modelling of Dynamical Systems Using Tree Adjoining Grammar and Genetic Programming. CoRR Dhruv Khandelwal, Maarten Schoukens, Roland Tóth
2019	—	`conf`	Grammar-based Representation and Identification of Dynamical Systems. ECC Dhruv Khandelwal, Maarten Schoukens, Roland Tóth
2019	J	`jnl`	Heterogeneously parameterized tube model predictive control for LPV systems. CoRR Jurre Hanema, Mircea Lazar, Roland Tóth
2019	—	`conf`	Kernelized Identification of Linear Parameter-Varying Models with Linear Fractional Representation. ECC Manas Mejari, Dario Piga, Roland Tóth, Alberto Bemporad
2019	J	`jnl`	Linear Parameter-Varying Control of Nonlinear Systems based on Incremental Stability. CoRR P. J. W. Koelewijn, Roland Tóth, Henk Nijmeijer
2019	—	`conf`	Towards Data-Driven LPV Controller Synthesis Based on Frequency Response Functions. CDC Tom Bloemers, Roland Tóth, Tom Oomen
2018	J	`jnl`	Affine Parameter-Dependent Lyapunov Functions for LPV Systems With Affine Dependence. IEEE Trans. Autom. Control. Pepijn B. Cox, Siep Weiland, Roland Tóth
2018	J	`jnl`	Affine Parameter-Dependent Lyapunov Functions for LPV Systems with Affine Dependence. CoRR Pepijn B. Cox, Siep Weiland, Roland Tóth
2018	J	`jnl`	Feedforward Control of Magnetically Levitated Planar Actuators. CoRR Tom Bloemers, Ioannis Proimadis, Yanin Kasemsinsup, Roland Tóth
2018	J	`jnl`	From Nonlinear Identification to Linear Parameter Varying Models: Benchmark Examples. CoRR Maarten Schoukens, Roland Tóth
2018	J	`jnl`	Grammar-based Representation and Identification of Dynamical Systems. CoRR Dhruv Khandelwal, Maarten Schoukens, Roland Tóth
2018	J	`jnl`	Linear Parameter Varying Representation of a class of MIMO Nonlinear Systems. CoRR Maarten Schoukens, Roland Tóth
2018	—	`conf`	On the Simulation of Polynomial NARMAX Models. CDC Dhruv Khandelwal, Maarten Schoukens, Roland Tóth
2018	J	`jnl`	On the Simulation of Polynomial NARMAX Models. CoRR Dhruv Khandelwal, Maarten Schoukens, Roland Tóth
2018	C	`conf`	Parameter-Dependent Feedforward Strategies for Motion Systems. ACC T. A. H. Bloemers, Ioannis Proimadis, Yanin Kasemsinsup, Roland Tóth
2018	J	`jnl`	Prediction-error identification of LPV systems: A nonparametric Gaussian regression approach. Autom. Mohamed Abdelmonim Hassan Darwish, Pepijn Bastiaan Cox, Ioannis Proimadis, Gianluigi Pillonetto, Roland Tóth
2018	J	`jnl`	State-space LPV model identification using kernelized machine learning. Autom. Syed Zeeshan Rizvi, Javad Mohammadpour Velni, Farshid Abbasi, Roland Tóth, Nader Meskin
2018	J	`jnl`	The quest for the right kernel in Bayesian impulse response identification: The use of OBFs. Autom. Mohamed Abdelmonim Hassan Darwish, Gianluigi Pillonetto, Roland Tóth
2018	J	`jnl`	Towards Efficient Maximum Likelihood Estimation of LPV-SS Models. CoRR Pepijn B. Cox, Roland Tóth, Mihály Petreczky
2018	J	`jnl`	Towards efficient maximum likelihood estimation of LPV-SS models. Autom. Pepijn Bastiaan Cox, Roland Tóth, Mihály Petreczky
2017	J	`jnl`	A Bayesian Approach for LPV Model Identification and Its Application to Complex Processes. IEEE Trans. Control. Syst. Technol. Arash Golabi, Nader Meskin, Roland Tóth, Javad Mohammadpour
2017	J	`jnl`	Fixed-structure LPV-IO controllers: An implicit representation based approach. Autom. Simon Wollnack, Hossam Seddik Abbas, Roland Tóth, Herbert Werner
2017	—	`conf`	LPV state-space identification via IO methods and efficient model order reduction in comparison with subspace methods. CDC Erik Schulz, Pepijn B. Cox, Roland Tóth, Herbert Werner
2017	J	`jnl`	Realization Theory for LPV State-Space Representations With Affine Dependence. IEEE Trans. Autom. Control. Mihály Petreczky, Roland Tóth, Guillaume Mercère
2017	J	`jnl`	Stabilizing Tube-Based Model Predictive Control: Terminal Set and Cost Construction for LPV Systems (extended version). CoRR Jurre Hanema, Mircea Lazar, Roland Tóth
2017	—	`conf`	Stabilizing non-linear MPC using linear parameter-varying representations. CDC Jurre Hanema, Roland Tóth, Mircea Lazar
2017	J	`jnl`	Stabilizing tube-based model predictive control: Terminal set and cost construction for LPV systems. Autom. Jurre Hanema, Mircea Lazar, Roland Tóth
2017	C	`conf`	Stochastic model predictive control for LPV systems. ACC Shaikshavali Chitraganti, Roland Tóth, Nader Meskin, Javad Mohammadpour
2016	J	`jnl`	A Kernel-Based PCA Approach to Model Reduction of Linear Parameter-Varying Systems. IEEE Trans. Control. Syst. Technol. Syed Zeeshan Rizvi, Javad Mohammadpour, Roland Tóth, Nader Meskin
2016	J	`jnl`	A Robust MPC for Input-Output LPV Models. IEEE Trans. Autom. Control. Hossam S. Abbas, Roland Tóth, Nader Meskin, Javad Mohammadpour, Jurre Hanema
2016	J	`jnl`	Alternative Form of Predictor Based Identification of LPV-SS Models with Innovation Noise. CoRR Pepijn B. Cox, Roland Tóth
2016	—	`conf`	Alternative form of predictor based identification of LPV-SS models with innovation noise. CDC Pepijn Bastiaan Cox, Roland Tóth
2016	J	`jnl`	Direct learning of LPV controllers from data. Autom. Simone Formentin, Dario Piga, Roland Tóth, Sergio M. Savaresi
2016	C	`conf`	Event-triggered control for discrete-time linear parameter-varying systems. ACC Arash Golabi, Nader Meskin, Roland Tóth, Javad Mohammadpour, Tijs Donkers
2016	—	`conf`	Event-triggered fault detection for discrete-time LPV systems. EBCCSP Arash Golabi, Mohammad Reza Davoodi, Nader Meskin, Javad Mohammadpour, Roland Tóth
2016	C	`conf`	LPV State-space model identification in the Bayesian setting: A 3-step procedure. ACC Pepijn B. Cox, Roland Tóth
2016	—	`conf`	MPC for linear parameter-varying systems in input-output representation. ISIC Jurre Hanema, Roland Tóth, Mircea Lazar, Hossam S. Abbas
2016	C	`conf`	Non-parametric identification of linear parameter-varying spatially-interconnected systems using an LS-SVM approach. ACC Qin Liu, Javad Mohammadpour, Roland Tóth, Nader Meskin
2016	J	`jnl`	On the Connection Between Different Noise Structures for LPV-SS Models. CoRR Pepijn Bastiaan Cox, Roland Tóth
2016	—	`conf`	Tube-based anticipative model predictive control for linear parameter-varying systems. CDC Jurre Hanema, Roland Tóth, Mircea Lazar
2015	—	`conf`	A Bayesian approach for model identification of LPV systems with uncertain scheduling variables. CDC Farshid Abbasi, Javad Mohammadpour, Roland Tóth, Nader Meskin
2015	—	`conf`	An IV-SVM-based approach for identification of state-space LPV models under generic noise conditions. CDC Syed Zeeshan Rizvi, Javad Mohammadpour, Roland Tóth, Nader Meskin
2015	—	`conf`	An MPC approach for LPV systems in input-output form. CDC Hossam S. Abbas, Roland Tóth, Nader Meskin, Javad Mohammadpour, Jurre Hanema
2015	J	`jnl`	An instrumental least squares support vector machine for nonlinear system identification. Autom. Vincent Laurain, Roland Tóth, Dario Piga, Wei Xing Zheng
2015	—	`conf`	Bayesian identification of LPV Box-Jenkins models. CDC Mohamed Abdelmonim Hassan Darwish, Pepijn B. Cox, Gianluigi Pillonetto, Roland Tóth
2015	C	`conf`	CVA identification of nonlinear systems with LPV state-space models of affine dependence. ACC Wallace E. Larimore, Pepijn B. Cox, Roland Tóth
2015	—	`conf`	Data driven predictive control based on orthonormal basis functions. CDC A. A. Bachnas, Siep Weiland, Roland Tóth
2015	J	`jnl`	LPV system identification under noise corrupted scheduling and output signal observations. Autom. Dario Piga, Pepijn B. Cox, Roland Tóth, Vincent Laurain
2015	J	`jnl`	Moment Matching Based Model Reduction for LPV State-Space Models. CoRR Mert Bastug, Mihály Petreczky, Roland Tóth, Rafael Wisniewski, John Leth, Denis V. Efimov
2015	—	`conf`	Moment matching based model reduction for LPV state-space models. CDC Mert Bastug, Mihály Petreczky, Roland Tóth, Rafael Wisniewski, John Leth, Denis V. Efimov
2015	—	`conf`	Perspectives of orthonormal basis functions based kernels in Bayesian system identification? CDC Mohamed Abdelmonim Hassan Darwish, Gianluigi Pillonetto, Roland Tóth
2015	C	`conf`	Reduced LPV model development and control of a solution copolymerization reactor. CCA Sandy Rahme, Hossam S. Abbas, Nader Meskin, Roland Tóth, Javad Mohammadpour
2014	—	`conf`	A Bayesian approach for estimation of linear-regression LPV models. CDC Arash Golabi, Nader Meskin, Roland Tóth, Javad Mohammadpour
2014	J	`jnl`	A bias-corrected estimator for nonlinear systems with output-error type model structures. Autom. Dario Piga, Roland Tóth
2014	—	`conf`	A support vector machine-based method for LPV-ARX identification with noisy scheduling parameters. ECC Farshid Abbasi, Javad Mohammadpour, Roland Tóth, Nader Meskin
2014	—	`conf`	Parameter Set-mapping using kernel-based PCA for linear parameter-varying systems. ECC Syed Zeeshan Rizvi, Javad Mohammadpour, Roland Tóth, Nader Meskin
2014	—	`conf`	Shrinking complexity of scheduling dependencies in LS-SVM based LPV system identification. CDC Rene Duijkers, Roland Tóth, Dario Piga, Vincent Laurain
2014	J	`jnl`	Sparse Estimation of Polynomial and Rational Dynamical Models. IEEE Trans. Autom. Control. Cristian R. Rojas, Roland Tóth, Håkan Hjalmarsson
2013	J	`jnl`	An SDP approach for l Autom. Dario Piga, Roland Tóth
2013	—	`conf`	Direct data-driven control of linear parameter-varying systems. CDC Simone Formentin, Dario Piga, Roland Tóth, Sergio M. Savaresi
2013	—	`conf`	Fixed-structure LPV controller synthesis based on implicit input output representations. CDC Simon Wollnack, Hossam S. Abbas, Herbert Werner, Roland Tóth
2013	—	`conf`	LPV model order selection in an LS-SVM setting. CDC Dario Piga, Roland Tóth
2013	—	`conf`	Perspectives of data-driven LPV modeling of high-purity distillation columns. ECC A. A. Bachnas, Roland Tóth, Ali Mesbah, Jobert H. A. Ludlage
2012	—	`conf`	Fixed order LPV controller design for LPV models in input-output form. CDC Vito Cerone, Dario Piga, Diego Regruto, Roland Tóth
2012	J	`jnl`	Instrumental variable scheme for closed-loop LPV model identification. Autom. Roland Tóth, Vincent Laurain, Marion Gilson, Hugues Garnier
2012	—	`conf`	Joint order and dependency reduction for LPV state-space models. CDC Muhammad Mohsin Siraj, Roland Tóth, Siep Weiland
2012	C	`conf`	Minimal LPV state-space realization driven set-membership identification. ACC Vito Cerone, Dario Piga, Diego Regruto, Roland Tóth
2012	J	`jnl`	On the Discretization of Linear Fractional Representations of LPV Systems. IEEE Trans. Control. Syst. Technol. Roland Tóth, Marco Lovera, Peter S. C. Heuberger, Matteo Corno, Paul M. J. Van den Hof
2012	J	`jnl`	On the State-Space Realization of LPV Input-Output Models: Practical Approaches. IEEE Trans. Control. Syst. Technol. Roland Tóth, Hossam Seddik Abbas, Herbert Werner
2012	—	`conf`	Order and structural dependence selection of LPV-ARX models revisited. CDC Roland Tóth, Håkan Hjalmarsson, Cristian R. Rojas
2011	—	`conf`	Compressive System Identification in the Linear Time-Invariant framework. CDC/ECC Roland Tóth, Borhan Molazem Sanandaji, Kameshwar Poolla, Tyrone L. Vincent
2011	—	`conf`	Compressive System Identification of LTI and LTV ARX models. CDC/ECC Borhan Molazem Sanandaji, Tyrone L. Vincent, Michael B. Wakin, Roland Tóth, Kameshwar Poolla
2011	C	`conf`	Direct identification of continuous-time LPV models. ACC Vincent Laurain, Marion Gilson, Roland Tóth, Hugues Garnier
2011	—	`conf`	Informative data and identifiability in LPV-ARX prediction-error identification. CDC/ECC Arne G. Dankers, Roland Tóth, Peter S. C. Heuberger, Xavier Bombois, Paul M. J. Van den Hof
2011	—	`conf`	Introducing instrumental variables in the LS-SVM based identification framework. CDC/ECC Vincent Laurain, Wei Xing Zheng, Roland Tóth
2011	C	`conf`	LPV identification of high performance positioning devices. ACC Roland Tóth, Marc van de Wal, Peter S. C. Heuberger, Paul M. J. Van den Hof
2011	—	`conf`	Model structure learning: A support vector machine approach for LPV linear-regression models. CDC/ECC Roland Tóth, Vincent Laurain, Wei Xing Zheng, Kameshwar Poolla
2011	J	`jnl`	The Behavioral Approach to Linear Parameter-Varying Systems. IEEE Trans. Autom. Control. Roland Tóth, Jan C. Willems, Peter S. C. Heuberger, Paul M. J. Van den Hof
2010	C	`conf`	Identification of LPV output-error and Box-Jenkins models via optimal refined instrumental variable methods. ACC Vincent Laurain, Marion Gilson, Roland Tóth, Hugues Garnier
2010	J	`jnl`	Refined instrumental variable methods for identification of LPV Box-Jenkins models. Autom. Vincent Laurain, Marion Gilson, Roland Tóth, Hugues Garnier
2010	C	`conf`	State-Space realization of LPV Input-Output models: practical methods for the user. ACC Hossam S. Abbas, Roland Tóth, Herbert Werner
2009	—	`conf`	A behavioral approach to LPV systems. ECC Roland Tóth, Jan C. Willems, Peter S. C. Heuberger, Paul M. J. Van den Hof
2009	J	`jnl`	Asymptotically optimal orthonormal basis functions for LPV system identification. Autom. Roland Tóth, Peter S. C. Heuberger, Paul M. J. Van den Hof
2009	—	`conf`	Discretization of Linear Fractional Representations of LPV systems. CDC Roland Tóth, Marco Lovera, Peter S. C. Heuberger, Paul M. J. Van den Hof
2009	—	`conf`	Order and structural dependence selection of LPV-ARX models using a nonnegative garrote approach. CDC Roland Tóth, Christian Lyzell, Martin Enqvist, Peter S. C. Heuberger, Paul M. J. Van den Hof
2008	—	`conf`	Flexible model structures for LPV identification with static scheduling dependency. CDC Roland Tóth, Peter S. C. Heuberger, Paul M. J. Van den Hof
2007	—	`conf`	LPV system identification with globally fixed orthonormal basis functions. CDC Roland Tóth, Peter S. C. Heuberger, Paul M. J. Van den Hof
2006	—	`conf`	Orthonormal basis selection for LPV system identification, the Fuzzy-Kolmogorov c-Max approach. CDC Roland Tóth, Peter S. C. Heuberger, Paul M. J. Van den Hof
2004	—	`conf`	Speed sensorless linear parameter variant H CDC Denes Fodor, Roland Tóth