Roland Tóth
Orcid: 0000-0001-7570-6129
According to our database1,
Roland Tóth
authored at least 162 papers
between 2004 and 2024.
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Bibliography
2024
Backflipping With Miniature Quadcopters by Gaussian-Process-Based Control and Planning.
IEEE Trans. Control. Syst. Technol., January, 2024
Decoupling parameter variation from noise: Biquadratic Lyapunov forms in data-driven LPV control.
CoRR, 2024
Frequency Domain Auto-tuning of Structured LPV Controllers for High-Precision Motion Control.
CoRR, 2024
Convex Equilibrium-Free Stability and Performance Analysis of Discrete-Time Nonlinear Systems.
CoRR, 2024
Unconstrained Parameterization of Stable LPV Input-Output Models: with Application to System Identification.
CoRR, 2024
2023
Automated multi-objective system identification using grammar-based genetic programming.
Autom., August, 2023
Syst. Control. Lett., March, 2023
Improved Embedding of Nonlinear Systems in Linear Parameter-Varying Models With Polynomial Dependence.
IEEE Trans. Control. Syst. Technol., 2023
Minimal Realizations of Input-Output Behaviors by LPV State-Space Representations With Affine Dependence.
IEEE Control. Syst. Lett., 2023
IEEE Control. Syst. Lett., 2023
CoRR, 2023
Attitude Takeover Control for Noncooperative Space Targets Based on Gaussian Processes with Online Model Learning.
CoRR, 2023
CoRR, 2023
Equilibrium-Independent Control of Continuous-Time Nonlinear Systems via the LPV Framework - Extended Version.
CoRR, 2023
Meta-State-Space Learning: An Identification Approach for Stochastic Dynamical Systems.
CoRR, 2023
Modelling, identification and geometric control of autonomous quadcopters for agile maneuvering.
CoRR, 2023
Physics-Informed Learning Using Hamiltonian Neural Networks with Output Error Noise Models.
CoRR, 2023
CoRR, 2023
Initialization Approach for Nonlinear State-Space Identification via the Subspace Encoder Approach.
CoRR, 2023
CoRR, 2023
Continuous-time identification of dynamic state-space models by deep subspace encoding.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Direct Learning for Parameter-Varying Feedforward Control: A Neural-Network Approach.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Proceedings of the American Control Conference, 2023
2022
Frequency Response Data-Based LPV Controller Synthesis Applied to a Control Moment Gyroscope.
IEEE Trans. Control. Syst. Technol., 2022
IEEE Control. Syst. Lett., 2022
CoRR, 2022
CoRR, 2022
On modal observers for beyond rigid body H<sub>∞</sub> control in high-precision mechatronics.
CoRR, 2022
CoRR, 2022
LPV Modeling of the Atmospheric Flight Dynamics of a Generic Parafoil Return Vehicle.
CoRR, 2022
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
On modal observers for beyond rigid body H∞ control in high-precision mechatronics<sup>*</sup>.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Proceedings of the American Control Conference, 2022
2021
CoRR, 2021
CoRR, 2021
Nonlinear parameter-varying state-feedback design for a gyroscope using virtual control contraction metrics.
CoRR, 2021
CoRR, 2021
Incremental Stability and Performance Analysis of Discrete-Time Nonlinear Systems using the LPV Framework.
CoRR, 2021
Learning-based feedforward augmentation for steady state rejection of residual dynamics on a nanometer-accurate planar actuator system.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Incremental Dissipativity based Control of Discrete-Time Nonlinear Systems via the LPV Framework.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Proceedings of the 2021 American Control Conference, 2021
2020
CoRR, 2020
CoRR, 2020
Linear Parameter-Varying Embedding of Nonlinear Models with Reduced Conservativeness.
CoRR, 2020
Affine Linear Parameter-Varying Embedding of Nonlinear Models with Improved Accuracy and Minimal Overbounding.
CoRR, 2020
On the Initialization of Nonlinear LFR Model Identification with the Best Linear Approximation.
CoRR, 2020
Virtual Control Contraction Metrics: Convex Nonlinear Feedback Design via Behavioral Embedding.
CoRR, 2020
Sparse RKHS estimation via globally convex optimization and its application in LPV-IO identification.
Autom., 2020
Autom., 2020
Autom., 2020
Proceedings of the 18th European Control Conference, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the 2020 American Control Conference, 2020
2019
Linear Parameter-Varying Control of Nonlinear Systems based on Incremental Stability.
CoRR, 2019
A Comparison of LPV Gain Scheduling and Control Contraction Metrics for Nonlinear Control.
CoRR, 2019
Kernelized Identification of Linear Parameter-Varying Models with Linear Fractional Representation.
Proceedings of the 17th European Control Conference, 2019
Proceedings of the 17th European Control Conference, 2019
Data-driven Modelling of Dynamical Systems Using Tree Adjoining Grammar and Genetic Programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
2018
Affine Parameter-Dependent Lyapunov Functions for LPV Systems With Affine Dependence.
IEEE Trans. Autom. Control., 2018
CoRR, 2018
From Nonlinear Identification to Linear Parameter Varying Models: Benchmark Examples.
CoRR, 2018
The quest for the right kernel in Bayesian impulse response identification: The use of OBFs.
Autom., 2018
Prediction-error identification of LPV systems: A nonparametric Gaussian regression approach.
Autom., 2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Proceedings of the 2018 Annual American Control Conference, 2018
2017
A Bayesian Approach for LPV Model Identification and Its Application to Complex Processes.
IEEE Trans. Control. Syst. Technol., 2017
IEEE Trans. Autom. Control., 2017
Stabilizing Tube-Based Model Predictive Control: Terminal Set and Cost Construction for LPV Systems (extended version).
CoRR, 2017
Autom., 2017
Stabilizing tube-based model predictive control: Terminal set and cost construction for LPV systems.
Autom., 2017
LPV state-space identification via IO methods and efficient model order reduction in comparison with subspace methods.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
Proceedings of the 2017 American Control Conference, 2017
2016
IEEE Trans. Control. Syst. Technol., 2016
Proceedings of the Second International Conference on Event-based Control, 2016
Tube-based anticipative model predictive control for linear parameter-varying systems.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Alternative form of predictor based identification of LPV-SS models with innovation noise.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Non-parametric identification of linear parameter-varying spatially-interconnected systems using an LS-SVM approach.
Proceedings of the 2016 American Control Conference, 2016
Proceedings of the 2016 American Control Conference, 2016
Proceedings of the 2016 American Control Conference, 2016
Proceedings of the IEEE International Symposium on Intelligent Control, 2016
2015
LPV system identification under noise corrupted scheduling and output signal observations.
Autom., 2015
An instrumental least squares support vector machine for nonlinear system identification.
Autom., 2015
An IV-SVM-based approach for identification of state-space LPV models under generic noise conditions.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
Perspectives of orthonormal basis functions based kernels in Bayesian system identification?
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
A Bayesian approach for model identification of LPV systems with uncertain scheduling variables.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
CVA identification of nonlinear systems with LPV state-space models of affine dependence.
Proceedings of the American Control Conference, 2015
Proceedings of the 2015 IEEE Conference on Control Applications, 2015
2014
IEEE Trans. Autom. Control., 2014
A bias-corrected estimator for nonlinear systems with output-error type model structures.
Autom., 2014
Proceedings of the 13th European Control Conference, 2014
A support vector machine-based method for LPV-ARX identification with noisy scheduling parameters.
Proceedings of the 13th European Control Conference, 2014
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
Shrinking complexity of scheduling dependencies in LS-SVM based LPV system identification.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
2013
An SDP approach for l<sub>0</sub>-minimization: Application to ARX model segmentation.
Autom., 2013
Proceedings of the 12th European Control Conference, 2013
Fixed-structure LPV controller synthesis based on implicit input output representations.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
2012
IEEE Trans. Control. Syst. Technol., 2012
IEEE Trans. Control. Syst. Technol., 2012
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
Proceedings of the American Control Conference, 2012
2011
IEEE Trans. Autom. Control., 2011
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
Model structure learning: A support vector machine approach for LPV linear-regression models.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
Proceedings of the American Control Conference, 2011
Proceedings of the American Control Conference, 2011
2010
Autom., 2010
Identification of LPV output-error and Box-Jenkins models via optimal refined instrumental variable methods.
Proceedings of the American Control Conference, 2010
Proceedings of the American Control Conference, 2010
2009
Autom., 2009
Proceedings of the 10th European Control Conference, 2009
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
Order and structural dependence selection of LPV-ARX models using a nonnegative garrote approach.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
2008
Proceedings of the 47th IEEE Conference on Decision and Control, 2008
2007
Proceedings of the 46th IEEE Conference on Decision and Control, 2007
2006
Orthonormal basis selection for LPV system identification, the Fuzzy-Kolmogorov c-Max approach.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006
2004
Speed sensorless linear parameter variant H<sub>∞</sub> control of the induction motor.
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004