Speed sensorless linear parameter variant H∞ control of the induction motor. - Denes Fodor; Roland Tóth (CDC, 2004)

Orthonormal basis selection for LPV system identification, the Fuzzy-Kolmogorov c-Max approach. - Roland Tóth; Peter S. C. Heuberger; Paul M. J. Van den Hof (CDC, 2006)

LPV system identification with globally fixed orthonormal basis functions. - Roland Tóth; Peter S. C. Heuberger; Paul M. J. Van den Hof (CDC, 2007)

Flexible model structures for LPV identification with static scheduling dependency. - Roland Tóth; Peter S. C. Heuberger; Paul M. J. Van den Hof (CDC, 2008)

Order and structural dependence selection of LPV-ARX models using a nonnegative garrote approach. - Roland Tóth; Christian Lyzell; Martin Enqvist; Peter S. C. Heuberger; Paul M. J. Van den Hof (CDC, 2009)

Discretization of Linear Fractional Representations of LPV systems. - Roland Tóth; Marco Lovera; Peter S. C. Heuberger; Paul M. J. Van den Hof (CDC, 2009)

A behavioral approach to LPV systems. - Roland Tóth; Jan C. Willems; Peter S. C. Heuberger; Paul M. J. Van den Hof (ECC, 2009)

Asymptotically optimal orthonormal basis functions for LPV system identification. - Roland Tóth; Peter S. C. Heuberger; Paul M. J. Van den Hof (Autom., 2009)

State-Space realization of LPV Input-Output models: practical methods for the user. - Hossam S. Abbas; Roland Tóth; Herbert Werner (ACC, 2010)

Identification of LPV output-error and Box-Jenkins models via optimal refined instrumental variable methods. - Vincent Laurain; Marion Gilson; Roland Tóth; Hugues Garnier (ACC, 2010)

Refined instrumental variable methods for identification of LPV Box-Jenkins models. - Vincent Laurain; Marion Gilson; Roland Tóth; Hugues Garnier (Autom., 2010)

Direct identification of continuous-time LPV models. - Vincent Laurain; Marion Gilson; Roland Tóth; Hugues Garnier (ACC, 2011)

LPV identification of high performance positioning devices. - Roland Tóth; Marc van de Wal; Peter S. C. Heuberger; Paul M. J. Van den Hof (ACC, 2011)

Informative data and identifiability in LPV-ARX prediction-error identification. - Arne G. Dankers; Roland Tóth; Peter S. C. Heuberger; Xavier Bombois; Paul M. J. Van den Hof (CDC/ECC, 2011)

Introducing instrumental variables in the LS-SVM based identification framework. - Vincent Laurain; Wei Xing Zheng 001; Roland Tóth (CDC/ECC, 2011)

Compressive System Identification of LTI and LTV ARX models. - Borhan Molazem Sanandaji; Tyrone L. Vincent; Michael B. Wakin; Roland Tóth; Kameshwar Poolla (CDC/ECC, 2011)

Model structure learning: A support vector machine approach for LPV linear-regression models. - Roland Tóth; Vincent Laurain; Wei Xing Zheng 001; Kameshwar Poolla (CDC/ECC, 2011)

Compressive System Identification in the Linear Time-Invariant framework. - Roland Tóth; Borhan Molazem Sanandaji; Kameshwar Poolla; Tyrone L. Vincent (CDC/ECC, 2011)

The Behavioral Approach to Linear Parameter-Varying Systems. - Roland Tóth; Jan C. Willems; Peter S. C. Heuberger; Paul M. J. Van den Hof (IEEE Trans. Autom. Control., 2011)

Minimal LPV state-space realization driven set-membership identification. - Vito Cerone; Dario Piga; Diego Regruto; Roland Tóth (ACC, 2012)

Fixed order LPV controller design for LPV models in input-output form. - Vito Cerone; Dario Piga; Diego Regruto; Roland Tóth (CDC, 2012)

Joint order and dependency reduction for LPV state-space models. - Muhammad Mohsin Siraj; Roland Tóth; Siep Weiland (CDC, 2012)

Order and structural dependence selection of LPV-ARX models revisited. - Roland Tóth; Håkan Hjalmarsson; Cristian R. Rojas (CDC, 2012)

Instrumental variable scheme for closed-loop LPV model identification. - Roland Tóth; Vincent Laurain; Marion Gilson; Hugues Garnier (Autom., 2012)

On the State-Space Realization of LPV Input-Output Models: Practical Approaches. - Roland Tóth; Hossam Seddik Abbas; Herbert Werner (IEEE Trans. Control. Syst. Technol., 2012)

On the Discretization of Linear Fractional Representations of LPV Systems. - Roland Tóth; Marco Lovera; Peter S. C. Heuberger; Matteo Corno; Paul M. J. Van den Hof (IEEE Trans. Control. Syst. Technol., 2012)

Direct data-driven control of linear parameter-varying systems. - Simone Formentin; Dario Piga; Roland Tóth; Sergio M. Savaresi (CDC, 2013)

LPV model order selection in an LS-SVM setting. - Dario Piga; Roland Tóth (CDC, 2013)

Fixed-structure LPV controller synthesis based on implicit input output representations. - Simon Wollnack; Hossam S. Abbas; Herbert Werner; Roland Tóth (CDC, 2013)

Perspectives of data-driven LPV modeling of high-purity distillation columns. - A. A. Bachnas; Roland Tóth; Ali Mesbah 002; Jobert H. A. Ludlage (ECC, 2013)

An SDP approach for l0-minimization: Application to ARX model segmentation. - Dario Piga; Roland Tóth (Autom., 2013)

Shrinking complexity of scheduling dependencies in LS-SVM based LPV system identification. - Rene Duijkers; Roland Tóth; Dario Piga; Vincent Laurain (CDC, 2014)

A Bayesian approach for estimation of linear-regression LPV models. - Arash Golabi; Nader Meskin; Roland Tóth; Javad Mohammadpour (CDC, 2014)

A support vector machine-based method for LPV-ARX identification with noisy scheduling parameters. - Farshid Abbasi; Javad Mohammadpour; Roland Tóth; Nader Meskin (ECC, 2014)

Parameter Set-mapping using kernel-based PCA for linear parameter-varying systems. - Syed Zeeshan Rizvi; Javad Mohammadpour; Roland Tóth; Nader Meskin (ECC, 2014)

A bias-corrected estimator for nonlinear systems with output-error type model structures. - Dario Piga; Roland Tóth (Autom., 2014)

Sparse Estimation of Polynomial and Rational Dynamical Models. - Cristian R. Rojas; Roland Tóth; Håkan Hjalmarsson (IEEE Trans. Autom. Control., 2014)

Reduced LPV model development and control of a solution copolymerization reactor. - Sandy Rahme; Hossam S. Abbas; Nader Meskin; Roland Tóth; Javad Mohammadpour (CCA, 2015)

CVA identification of nonlinear systems with LPV state-space models of affine dependence. - Wallace E. Larimore; Pepijn B. Cox; Roland Tóth (ACC, 2015)

An MPC approach for LPV systems in input-output form. - Hossam S. Abbas; Roland Tóth; Nader Meskin; Javad Mohammadpour; Jurre Hanema (CDC, 2015)

A Bayesian approach for model identification of LPV systems with uncertain scheduling variables. - Farshid Abbasi; Javad Mohammadpour; Roland Tóth; Nader Meskin (CDC, 2015)

Data driven predictive control based on orthonormal basis functions. - A. A. Bachnas; Siep Weiland; Roland Tóth (CDC, 2015)

Moment matching based model reduction for LPV state-space models. - Mert Bastug; Mihály Petreczky; Roland Tóth; Rafael Wisniewski; John Leth; Denis V. Efimov (CDC, 2015)

Bayesian identification of LPV Box-Jenkins models. - Mohamed Abdelmonim Hassan Darwish; Pepijn B. Cox; Gianluigi Pillonetto; Roland Tóth (CDC, 2015)

Perspectives of orthonormal basis functions based kernels in Bayesian system identification? - Mohamed Abdelmonim Hassan Darwish; Gianluigi Pillonetto; Roland Tóth (CDC, 2015)

An IV-SVM-based approach for identification of state-space LPV models under generic noise conditions. - Syed Zeeshan Rizvi; Javad Mohammadpour; Roland Tóth; Nader Meskin (CDC, 2015)

An instrumental least squares support vector machine for nonlinear system identification. - Vincent Laurain; Roland Tóth; Dario Piga; Wei Xing Zheng 001 (Autom., 2015)

LPV system identification under noise corrupted scheduling and output signal observations. - Dario Piga; Pepijn B. Cox; Roland Tóth; Vincent Laurain (Autom., 2015)

MPC for linear parameter-varying systems in input-output representation. - Jurre Hanema; Roland Tóth; Mircea Lazar; Hossam S. Abbas (ISIC, 2016)

LPV State-space model identification in the Bayesian setting: A 3-step procedure. - Pepijn B. Cox; Roland Tóth (ACC, 2016)

Event-triggered control for discrete-time linear parameter-varying systems. - Arash Golabi; Nader Meskin; Roland Tóth; Javad Mohammadpour; Tijs Donkers (ACC, 2016)

Non-parametric identification of linear parameter-varying spatially-interconnected systems using an LS-SVM approach. - Qin Liu 007; Javad Mohammadpour; Roland Tóth; Nader Meskin (ACC, 2016)

Alternative form of predictor based identification of LPV-SS models with innovation noise. - Pepijn Bastiaan Cox; Roland Tóth (CDC, 2016)

Tube-based anticipative model predictive control for linear parameter-varying systems. - Jurre Hanema; Roland Tóth; Mircea Lazar (CDC, 2016)

Event-triggered fault detection for discrete-time LPV systems. - Arash Golabi; Mohammad Reza Davoodi; Nader Meskin; Javad Mohammadpour; Roland Tóth (EBCCSP, 2016)

Direct learning of LPV controllers from data. - Simone Formentin; Dario Piga; Roland Tóth; Sergio M. Savaresi (Autom., 2016)

On the Connection Between Different Noise Structures for LPV-SS Models. - Pepijn Bastiaan Cox; Roland Tóth (CoRR, 2016)

A Robust MPC for Input-Output LPV Models. - Hossam S. Abbas; Roland Tóth; Nader Meskin; Javad Mohammadpour; Jurre Hanema (IEEE Trans. Autom. Control., 2016)

A Kernel-Based PCA Approach to Model Reduction of Linear Parameter-Varying Systems. - Syed Zeeshan Rizvi; Javad Mohammadpour; Roland Tóth; Nader Meskin (IEEE Trans. Control. Syst. Technol., 2016)

Stochastic model predictive control for LPV systems. - Shaikshavali Chitraganti; Roland Tóth; Nader Meskin; Javad Mohammadpour (ACC, 2017)

Stabilizing non-linear MPC using linear parameter-varying representations. - Jurre Hanema; Roland Tóth; Mircea Lazar (CDC, 2017)

LPV state-space identification via IO methods and efficient model order reduction in comparison with subspace methods. - Erik Schulz; Pepijn B. Cox; Roland Tóth; Herbert Werner (CDC, 2017)

Stabilizing tube-based model predictive control: Terminal set and cost construction for LPV systems. - Jurre Hanema; Mircea Lazar; Roland Tóth (Autom., 2017)

Fixed-structure LPV-IO controllers: An implicit representation based approach. - Simon Wollnack; Hossam Seddik Abbas; Roland Tóth; Herbert Werner (Autom., 2017)

Stabilizing Tube-Based Model Predictive Control: Terminal Set and Cost Construction for LPV Systems (extended version). - Jurre Hanema; Mircea Lazar; Roland Tóth (CoRR, 2017)

Realization Theory for LPV State-Space Representations With Affine Dependence. - Mihály Petreczky; Roland Tóth; Guillaume Mercère (IEEE Trans. Autom. Control., 2017)

A Bayesian Approach for LPV Model Identification and Its Application to Complex Processes. - Arash Golabi; Nader Meskin; Roland Tóth; Javad Mohammadpour (IEEE Trans. Control. Syst. Technol., 2017)

Parameter-Dependent Feedforward Strategies for Motion Systems. - T. A. H. Bloemers; Ioannis Proimadis; Yanin Kasemsinsup; Roland Tóth (ACC, 2018)

On the Simulation of Polynomial NARMAX Models. - Dhruv Khandelwal; Maarten Schoukens; Roland Tóth (CDC, 2018)

Towards efficient maximum likelihood estimation of LPV-SS models. - Pepijn Bastiaan Cox; Roland Tóth; Mihály Petreczky (Autom., 2018)

Prediction-error identification of LPV systems: A nonparametric Gaussian regression approach. - Mohamed Abdelmonim Hassan Darwish; Pepijn Bastiaan Cox; Ioannis Proimadis; Gianluigi Pillonetto; Roland Tóth (Autom., 2018)

The quest for the right kernel in Bayesian impulse response identification: The use of OBFs. - Mohamed Abdelmonim Hassan Darwish; Gianluigi Pillonetto; Roland Tóth (Autom., 2018)

State-space LPV model identification using kernelized machine learning. - Syed Zeeshan Rizvi; Javad Mohammadpour Velni; Farshid Abbasi; Roland Tóth; Nader Meskin (Autom., 2018)

Feedforward Control of Magnetically Levitated Planar Actuators. - Tom Bloemers; Ioannis Proimadis; Yanin Kasemsinsup; Roland Tóth (CoRR, 2018)

From Nonlinear Identification to Linear Parameter Varying Models: Benchmark Examples. - Maarten Schoukens; Roland Tóth (CoRR, 2018)

Linear Parameter Varying Representation of a class of MIMO Nonlinear Systems. - Maarten Schoukens; Roland Tóth (CoRR, 2018)

Affine Parameter-Dependent Lyapunov Functions for LPV Systems With Affine Dependence. - Pepijn B. Cox; Siep Weiland; Roland Tóth (IEEE Trans. Autom. Control., 2018)

Towards Data-Driven LPV Controller Synthesis Based on Frequency Response Functions. - Tom Bloemers; Roland Tóth; Tom Oomen (CDC, 2019)

Data-driven Modelling of Dynamical Systems Using Tree Adjoining Grammar and Genetic Programming. - Dhruv Khandelwal; Maarten Schoukens; Roland Tóth (CEC, 2019)

Grammar-based Representation and Identification of Dynamical Systems. - Dhruv Khandelwal; Maarten Schoukens; Roland Tóth (ECC, 2019)

Kernelized Identification of Linear Parameter-Varying Models with Linear Fractional Representation. - Manas Mejari; Dario Piga; Roland Tóth; Alberto Bemporad (ECC, 2019)

A Comparison of LPV Gain Scheduling and Control Contraction Metrics for Nonlinear Control. - Ruigang Wang; Roland Tóth; Ian R. Manchester (CoRR, 2019)

Linear Parameter-Varying Control of Nonlinear Systems based on Incremental Stability. - P. J. W. Koelewijn; Roland Tóth; Henk Nijmeijer (CoRR, 2019)

Scheduling Dimension Reduction of LPV Models - A Deep Neural Network Approach. - Patrick J. W. Koelewijn; Roland Tóth (ACC, 2020)

SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation. - Zechen Liu; Zizhang Wu; Roland Tóth (CVPR Workshops, 2020)

Pitfalls of Guaranteeing Asymptotic Stability in LPV Control of Nonlinear Systems. - P. J. W. Koelewijn; G. Sales Mazzoccante; Roland Tóth; Siep Weiland (ECC, 2020)

Heterogeneously parameterized tube model predictive control for LPV systems. - Jurre Hanema; Mircea Lazar; Roland Tóth (Autom., 2020)

A Tree Adjoining Grammar representation for models of stochastic dynamical systems. - Dhruv Khandelwal; Maarten Schoukens; Roland Tóth (Autom., 2020)

Sparse RKHS estimation via globally convex optimization and its application in LPV-IO identification. - Vincent Laurain; Roland Tóth; Dario Piga; Mohamed Abdelmonim Hassan Darwish (Autom., 2020)

Virtual Control Contraction Metrics: Convex Nonlinear Feedback Design via Behavioral Embedding. - Ruigang Wang; Roland Tóth; Ian R. Manchester (CoRR, 2020)

On the Initialization of Nonlinear LFR Model Identification with the Best Linear Approximation. - Maarten Schoukens; Roland Tóth (CoRR, 2020)

Convex Incremental Dissipativity Analysis of Nonlinear Systems. - Chris Verhoek; Patrick J. W. Koelewijn; Roland Tóth (CoRR, 2020)

Affine Linear Parameter-Varying Embedding of Nonlinear Models with Improved Accuracy and Minimal Overbounding. - Arash Sadeghzadeh; Bardia Sharif; Roland Tóth (CoRR, 2020)

Linear Parameter-Varying Embedding of Nonlinear Models with Reduced Conservativeness. - Arash Sadeghzadeh; Roland Tóth (CoRR, 2020)

Non-linear State-space Model Identification from Video Data using Deep Encoders. - Gerben Izaak Beintema; Roland Tóth; Maarten Schoukens (CoRR, 2020)

Toolbox for Discovering Dynamic System Relations via TAG Guided Genetic Programming. - Stefan-Cristian Nechita; Roland Tóth; Dhruv Khandelwal; Maarten Schoukens (CoRR, 2020)

On the Use of the Smith-McMillan Form in Decoupling System Dynamics. - Clarisse Pétua Bosman Barros; Hans Butler; Roland Tóth (ACC, 2021)

On feedforward control of piezoelectric dual-stage actuator systems. - Clarisse Pétua Bosman Barros; Hans Butler; Jeroen van de Wijdeven; Roland Tóth (CDC, 2021)

Deep Identification of Nonlinear Systems in Koopman Form. - Lucian-Cristian Iacob; Gerben Izaak Beintema; Maarten Schoukens; Roland Tóth (CDC, 2021)

Incremental Dissipativity based Control of Discrete-Time Nonlinear Systems via the LPV Framework. - Patrick J. W. Koelewijn; Roland Tóth; Siep Weiland (CDC, 2021)

Learning Based Model Predictive Control for Quadcopters with Dual Gaussian Process. - Yuhan Liu; Roland Tóth (CDC, 2021)

Fundamental Lemma for Data-Driven Analysis of Linear Parameter-Varying Systems. - Chris Verhoek; Roland Tóth; Sofie Haesaert; Anne Koch 001 (CDC, 2021)

Nonlinear state-space identification using deep encoder networks. - Gerben Beintema; Roland Tóth; Maarten Schoukens (L4DC, 2021)

Learning-based feedforward augmentation for steady state rejection of residual dynamics on a nanometer-accurate planar actuator system. - Ioannis Proimadis; Yorick Broens; Roland Tóth; Hans Butler (L4DC, 2021)

Linear parameter-varying subspace identification: A unified framework. - Pepijn Bastiaan Cox; Roland Tóth (Autom., 2021)

Incremental Stability and Performance Analysis of Discrete-Time Nonlinear Systems using the LPV Framework. - Patrick J. W. Koelewijn; Roland Tóth (CoRR, 2021)

LPV Modeling of Nonlinear Systems: A Multi-Path Feedback Linearization Approach. - Hossam S. Abbas; Roland Tóth; Mihály Petreczky; Nader Meskin; Javad Mohammadpour Velni; Patrick J. W. Koelewijn (CoRR, 2021)

Data-Driven Predictive Control for Linear Parameter-Varying Systems. - Chris Verhoek; Hossam S. Abbas; Roland Tóth; Sofie Haesaert (CoRR, 2021)

Nonlinear parameter-varying state-feedback design for a gyroscope using virtual control contraction metrics. - Ruigang Wang; Patrick J. W. Koelwijn; Ian R. Manchester; Roland Tóth (CoRR, 2021)

Nonlinear Tracking and Rejection using Linear Parameter-Varying Control. - Patrick J. W. Koelewijn; Roland Tóth; Henk Nijmeijer; Siep Weiland (CoRR, 2021)

LPVcore: MATLAB Toolbox for LPV Modelling, Identification and Control. - Pascal den Boef; Pepijn B. Cox; Roland Tóth (CoRR, 2021)

Identification of the nonlinear steering dynamics of an autonomous vehicle. - Gábor Rödönyi; Gerben Izaak Beintema; Roland Tóth; Maarten Schoukens; Daniel Pup; Ádám Kisari; Zs. Vígh; Péter Korös; Alexandros Soumelidis; József Bokor (CoRR, 2021)

Frequency-Domain Data-Driven Controller Synthesis for Unstable LPV Systems. - Tom Bloemers; Roland Tóth; Tom Oomen (CoRR, 2021)

LPV sequential loop closing for high-precision motion systems*. - Yorick Broens; Hans Butler; Roland Tóth (ACC, 2022)

On modal observers for beyond rigid body H∞ control in high-precision mechatronics*. - Yorick Broens; Hans Butler; Roland Tóth (CDC, 2022)

Deep-Learning-Based Identification of LPV Models for Nonlinear Systems. - Chris Verhoek; Gerben Izaak Beintema; Sofie Haesaert; Maarten Schoukens; Roland Tóth (CDC, 2022)

On discretization of continuous-time LPV control solutions. - Yorick Broens; Hans Butler; Roland Tóth (CoRR, 2022)

LPV sequential loop closing for high-precision motion systems. - Yorick Broens; Hans Butler; Roland Tóth (CoRR, 2022)

Deep subspace encoders for continuous-time state-space identification. - Gerben Izaak Beintema; Maarten Schoukens; Roland Tóth (CoRR, 2022)

LPV Modeling of the Atmospheric Flight Dynamics of a Generic Parafoil Return Vehicle. - Matthis H. de Lange; Chris Verhoek; Valentin Preda; Roland Tóth (CoRR, 2022)

Optimal Synthesis of LTI Koopman Models for Nonlinear Systems with Inputs. - Lucian-Cristian Iacob; Roland Tóth; Maarten Schoukens (CoRR, 2022)

On modal observers for beyond rigid body H∞ control in high-precision mechatronics. - Yorick Broens; Hans Butler; Roland Tóth (CoRR, 2022)

Learning For Predictive Control: A Dual Gaussian Process Approach. - Yuhan Liu; Pengyu Wang 012; Roland Tóth (CoRR, 2022)

Direct Data-Driven State-Feedback Control of Linear Parameter-Varying Systems. - Chris Verhoek; Roland Tóth; Hossam S. Abbas (CoRR, 2022)

Direct data-driven LPV control of nonlinear systems: An experimental result. - Chris Verhoek; Hossam S. Abbas; Roland Tóth (CoRR, 2022)

Frequency Response Data-Driven LPV Controller Synthesis for MIMO Systems. - Tom Bloemers; Tom Oomen; Roland Tóth (IEEE Control. Syst. Lett., 2022)

Frequency Response Data-Based LPV Controller Synthesis Applied to a Control Moment Gyroscope. - Tom Bloemers; Tom Oomen; Roland Tóth (IEEE Trans. Control. Syst. Technol., 2022)

Exploring the use of deep learning in task-flexible ILC*. - Anantha Sai Hariharan Vinjarapu; Yorick Broens; Hans Butler; Roland Tóth (ACC, 2023)

Computationally Efficient Predictive Control Based on ANN State-Space Models. - Jan H. Hoekstra; Bence Cseppento; Gerben Izaak Beintema; Maarten Schoukens; Zsolt Kollár; Roland Tóth (CDC, 2023)

Direct Learning for Parameter-Varying Feedforward Control: A Neural-Network Approach. - Johan Kon; Jeroen van de Wijdeven; Dennis Bruijnen; Roland Tóth; Marcel Heertjes; Tom Oomen (CDC, 2023)

Kernel-Based Learning of Stable Nonlinear State-Space Models. - Mohammad Fahim Shakib; Roland Tóth; Alexander Yu. Pogromsky; A. Pavlov; Nathan van de Wouw (CDC, 2023)

Direct Data-Driven State-Feedback Control of General Nonlinear Systems. - Chris Verhoek; Patrick J. W. Koelewijn; Sofie Haesaert; Roland Tóth (CDC, 2023)

Learning Stable and Robust Linear Parameter-Varying State-Space Models. - Chris Verhoek; Ruigang Wang; Roland Tóth (CDC, 2023)

Continuous-time identification of dynamic state-space models by deep subspace encoding. - Gerben Izaak Beintema; Maarten Schoukens; Roland Tóth (ICLR, 2023)

Finite Dimensional Koopman Form of Polynomial Nonlinear Systems. - Lucian-Cristian Iacob; Maarten Schoukens; Roland Tóth (CoRR, 2023)

Exploring the use of deep learning in task-flexible ILC. - Anantha Sai Hariharan Vinjarapu; Yorick Broens; Hans Butler; Roland Tóth (CoRR, 2023)

Initialization Approach for Nonlinear State-Space Identification via the Subspace Encoder Approach. - Rishi Ramkannan; Gerben Izaak Beintema; Roland Tóth; Maarten Schoukens (CoRR, 2023)

Direct data-driven signal temporal logic control of linear systems. - Birgit van Huijgevoort; Chris Verhoek; Roland Tóth; Sofie Haesaert (CoRR, 2023)

Payload Grasping and Transportation by a Quadrotor with a Hook-Based Manipulator. - Péter Antal; Tamás Péni; Roland Tóth (CoRR, 2023)

Physics-Informed Learning Using Hamiltonian Neural Networks with Output Error Noise Models. - Sarvin Moradi; Nick Jaensson; Roland Tóth; Maarten Schoukens (CoRR, 2023)

Modelling, identification and geometric control of autonomous quadcopters for agile maneuvering. - Péter Antal; Tamás Péni; Roland Tóth (CoRR, 2023)

Equilibrium-Independent Control of Continuous-Time Nonlinear Systems via the LPV Framework - Extended Version. - Patrick J. W. Koelewijn; Siep Weiland; Roland Tóth (CoRR, 2023)

Curve Trajectory Model for Human Preferred Path Planning of Automated Vehicles. - Gergo Ferenc Ignéczi; Erno Horváth; Roland Tóth; Krisztian Nyilas (CoRR, 2023)

Attitude Takeover Control for Noncooperative Space Targets Based on Gaussian Processes with Online Model Learning. - Yuhan Liu; Pengyu Wang; Chang-Hun Lee; Roland Tóth (CoRR, 2023)

A Linear Parameter-Varying Approach to Data Predictive Control. - Chris Verhoek; Julian Berberich; Sofie Haesaert; Roland Tóth; Hossam S. Abbas (CoRR, 2023)

Learning Reduced-Order Linear Parameter-Varying Models of Nonlinear Systems. - Patrick J. W. Koelewijn; Rajiv Sing; Peter J. Seiler; Roland Tóth (CoRR, 2023)

On Improved Commutation for Moving-Magnet Planar Actuators. - Yorick Broens; Hans Butler; Roland Tóth (IEEE Control. Syst. Lett., 2023)

Minimal Realizations of Input-Output Behaviors by LPV State-Space Representations With Affine Dependence. - Mihály Petreczky; Roland Tóth; Guillaume Mercère (IEEE Control. Syst. Lett., 2023)

Improved Embedding of Nonlinear Systems in Linear Parameter-Varying Models With Polynomial Dependence. - Arash Sadeghzadeh; Roland Tóth (IEEE Trans. Control. Syst. Technol., 2023)

LPV-ARX representations of LPV state-space models with affine dependence. - Mihály Petreczky; Roland Tóth; Guillaume Mercère (Syst. Control. Lett., 2023)

Convex incremental dissipativity analysis of nonlinear systems. - Chris Verhoek; Patrick J. W. Koelewijn; Sofie Haesaert; Roland Tóth (Autom., 2023)

Automated multi-objective system identification using grammar-based genetic programming. - Dhruv Khandelwal; Maarten Schoukens; Roland Tóth (Autom., 2023)

Deep subspace encoders for nonlinear system identification. - Gerben Izaak Beintema; Maarten Schoukens; Roland Tóth (Autom., 2023)

Direct data-driven control with signal temporal logic specifications. - B. C. van Huijgevoort; Chris Verhoek; Roland Tóth; Sofie Haesaert (ADHS, 2024)

Frequency Domain Auto-tuning of Structured LPV Controllers for High-Precision Motion Control. - Yorick Broens; Hans Butler; Roland Tóth (CDC, 2024)

Decoupling parameter variation from noise: Biquadratic Lyapunov forms in data-driven LPV control. - Chris Verhoek; Jaap Eising; Florian Dörfler; Roland Tóth (CDC, 2024)

Computationally Efficient Sampling-Based Algorithm for Stability Analysis of Nonlinear Systems. - Péter Antal; Tamás Péni; Roland Tóth (ECC, 2024)

Gaussian-Process-Based Adaptive Trajectory Tracking Control for Autonomous Ground Vehicles. - Kristóf Floch; Tamás Péni; Roland Tóth (ECC, 2024)

Unconstrained Parameterization of Stable LPV Input-Output Models: with Application to System Identification. - Johan Kon; Jeroen van de Wijdeven; Dennis Bruijnen; Roland Tóth; Marcel Heertjes; Tom Oomen (ECC, 2024)

Unified Behavioral Data-Driven Performance Analysis A Generalized Plant Approach. - L. M. Spin; Chris Verhoek; W. P. M. H. Heemels; Nathan van de Wouw; Roland Tóth (ECC, 2024)

Meta-state-space learning: An identification approach for stochastic dynamical systems. - Gerben Izaak Beintema; Maarten Schoukens; Roland Tóth (Autom., 2024)

Koopman form of nonlinear systems with inputs. - Lucian-Cristian Iacob; Roland Tóth; Maarten Schoukens (Autom., 2024)

State Derivative Normalization for Continuous-Time Deep Neural Networks. - Jonas Weigand; Gerben Izaak Beintema; Jonas Ulmen; Daniel Görges; Roland Tóth; Maarten Schoukens; Martin Ruskowski (CoRR, 2024)

Convex Equilibrium-Free Stability and Performance Analysis of Discrete-Time Nonlinear Systems. - Patrick J. W. Koelewijn; Siep Weiland; Roland Tóth (CoRR, 2024)

On the reduction of Linear Parameter-Varying State-Space models. - E. Javier Olucha; Bogoljub Terzin; Amritam Das; Roland Tóth (CoRR, 2024)

Learning-based model augmentation with LFRs. - Jan H. Hoekstra; Chris Verhoek; Roland Tóth; Maarten Schoukens (CoRR, 2024)

Nonparametric Control-Koopman Operator Learning: Flexible and Scalable Models for Prediction and Control. - Petar Bevanda; Bas Driessen; Lucian-Cristian Iacob; Roland Tóth; Stefan Sosnowski; Sandra Hirche (CoRR, 2024)

Physics-Guided State-Space Model Augmentation Using Weighted Regularized Neural Networks. - Yuhan Liu; Roland Tóth; Maarten Schoukens (CoRR, 2024)

Baseline Results for Selected Nonlinear System Identification Benchmarks. - Max D. Champneys; Gerben Izaak Beintema; Roland Tóth; Maarten Schoukens; Timothy J. Rogers 003 (CoRR, 2024)

Space-Filling Input Design for Nonlinear State-Space Identification. - Máté Kiss; Roland Tóth; Maarten Schoukens (CoRR, 2024)

Kernel-based multi-step predictors for data-driven analysis and control of nonlinear systems through the velocity form. - Chris Verhoek; Roland Tóth (CoRR, 2024)

Hook-Based Aerial Payload Grasping from a Moving Platform. - Péter Antal; Tamás Péni; Roland Tóth (CoRR, 2024)

Learning Subsystem Dynamics in Nonlinear Systems via Port-Hamiltonian Neural Networks. - G. J. E. van Otterdijk; Sarvin Moradi; Siep Weiland; Roland Tóth; Nick Jaensson; Maarten Schoukens (CoRR, 2024)

SRG Analysis of Lur'e Systems and the Generalized Circle Criterion. - Julius P. J. Krebbekx; Roland Tóth; Amritam Das (CoRR, 2024)

The behavioral approach for LPV data-driven representations. - Chris Verhoek; Ivan Markovsky; Sofie Haesaert; Roland Tóth (CoRR, 2024)

Guaranteeing Stability in Structured Input-Output Models: With Application to System Identification. - Johan Kon; Roland Tóth; Jeroen van de Wijdeven; Marcel Heertjes; Tom Oomen (IEEE Control. Syst. Lett., 2024)

Backflipping With Miniature Quadcopters by Gaussian-Process-Based Control and Planning. - Péter Antal; Tamás Péni; Roland Tóth (IEEE Trans. Control. Syst. Technol., 2024)

Attitude Takeover Control for Noncooperative Space Targets Based on Gaussian Processes With Online Model Learning. - Yuhan Liu; Pengyu Wang 012; Chang-Hun Lee; Roland Tóth (IEEE Trans. Aerosp. Electron. Syst., 2024)

Vibration Control Under Frequency-Varying Disturbances With Application to Satellites. - Tom Bloemers; Sjoerd Leemrijse; Valentin Preda; Fabrice Boquet; Tom Oomen; Roland Tóth (IEEE Trans. Control. Syst. Technol., 2024)

Data-Driven Dissipativity Analysis of Linear Parameter-Varying Systems. - Chris Verhoek; Julian Berberich; Sofie Haesaert; Frank Allgöwer; Roland Tóth (IEEE Trans. Autom. Control., 2024)

Online Learning of Interaction Dynamics with Dual Model Predictive Control for Multi-Agent Systems Using Gaussian Processes. - T. M. J. T. Baltussen; Erjen Lefeber; Roland Tóth; W. P. M. H. Heemels; Alexander Katriniok (ACC, 2025)

Orthogonal projection-based regularization for efficient model augmentation. - Bendegúz M. Györök; Jan H. Hoekstra; Johan Kon; Tamas Peni; Maarten Schoukens; Roland Tóth (L4DC, 2025)

Learning for predictive control: A Dual Gaussian Process approach. - Yuhan Liu; Pengyu Wang; Roland Tóth (Autom., 2025)

On Space-Filling Input Design for Nonlinear Dynamic Model Learning: A Gaussian Process Approach. - Yuhan Liu; Máté Kiss; Roland Tóth; Maarten Schoukens (IEEE Control. Syst. Lett., 2025)

Algorithm dependency in platformized news use. - Nadja Schaetz; Emilija Gagrcin; Roland Tóth; Martin Emmer (New Media Soc., 2025)

Gaussian-Process-based Adaptive Tracking Control with Dynamic Active Learning for Autonomous Ground Vehicles. - Kristóf Floch; Tamás Péni; Roland Tóth (CoRR, 2025)

Automated Linear Parameter-Varying Modeling of Nonlinear Systems: A Global Embedding Approach. - E. Javier Olucha; Patrick J. W. Koelewijn; Amritam Das; Roland Tóth (CoRR, 2025)

Port-Hamiltonian Neural Networks with Output Error Noise Models. - Sarvin Moradi; Gerben Izaak Beintema; Nick Jaensson; Roland Tóth; Maarten Schoukens (CoRR, 2025)

A Direct State-Space Realization of Discrete-Time Linear Parameter-Varying Input-Output Models. - Johan Kon; Roland Tóth; Jeroen van de Wijdeven; Marcel Heertjes; Tom Oomen (CoRR, 2025)

On-the-fly Surrogation for Complex Nonlinear Dynamics. - E. Javier Olucha; Rajiv Singh; Amritam Das; Roland Tóth (CoRR, 2025)

Nonlinear Bandwidth and Bode Diagrams based on Scaled Relative Graphs. - Julius P. J. Krebbekx; Roland Tóth; Amritam Das (CoRR, 2025)

Efficient identification of linear, parameter-varying, and nonlinear systems with noise models. - Alberto Bemporad; Roland Tóth (CoRR, 2025)

Autonomous Hook-Based Grasping and Transportation With Quadcopters. - Péter Antal; Tamás Péni; Roland Tóth (IEEE Trans. Control. Syst. Technol., 2025)

Reset Controller Analysis and Design for Unstable Linear Plants using Scaled Relative Graphs. - Julius P. J. Krebbekx; Roland Tóth; Amritam Das (CoRR, 2025)

Learning Koopman Models From Data Under General Noise Conditions. - Lucian-Cristian Iacob; Máté Szécsi; Gerben Izaak Beintema; Maarten Schoukens; Roland Tóth (CoRR, 2025)

Exact Finite Koopman Embedding of Block-Oriented Polynomial Systems. - Lucian-Cristian Iacob; Roland Tóth; Maarten Schoukens (CoRR, 2025)

Scaled Relative Graph Analysis of General Interconnections of SISO Nonlinear Systems. - Julius P. J. Krebbekx; Roland Tóth; Amritam Das (CoRR, 2025)

Graphical Analysis of Nonlinear Multivariable Feedback Systems. - Julius P. J. Krebbekx; Roland Tóth; Amritam Das (CoRR, 2025)

Tensor-based reduction of linear parameter-varying state-space models. - Bogoljub Terzin; E. Javier Olucha; Amritam Das; Siep Weiland; Roland Tóth (CoRR, 2025)