Roland Tóth

Orcid: 0000-0001-7570-6129

According to our database1, Roland Tóth authored at least 175 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Data-Driven Dissipativity Analysis of Linear Parameter-Varying Systems.
IEEE Trans. Autom. Control., December, 2024

Vibration Control Under Frequency-Varying Disturbances With Application to Satellites.
IEEE Trans. Control. Syst. Technol., November, 2024

Attitude Takeover Control for Noncooperative Space Targets Based on Gaussian Processes With Online Model Learning.
IEEE Trans. Aerosp. Electron. Syst., June, 2024

Backflipping With Miniature Quadcopters by Gaussian-Process-Based Control and Planning.
IEEE Trans. Control. Syst. Technol., January, 2024

Guaranteeing Stability in Structured Input-Output Models: With Application to System Identification.
IEEE Control. Syst. Lett., 2024

Hook-Based Aerial Payload Grasping from a Moving Platform.
CoRR, 2024

Kernel-based multi-step predictors for data-driven analysis and control of nonlinear systems through the velocity form.
CoRR, 2024

Space-Filling Input Design for Nonlinear State-Space Identification.
CoRR, 2024

Baseline Results for Selected Nonlinear System Identification Benchmarks.
CoRR, 2024

Physics-Guided State-Space Model Augmentation Using Weighted Regularized Neural Networks.
CoRR, 2024

Nonparametric Control-Koopman Operator Learning: Flexible and Scalable Models for Prediction and Control.
CoRR, 2024

Learning-based model augmentation with LFRs.
CoRR, 2024

On the reduction of Linear Parameter-Varying State-Space models.
CoRR, 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

State Derivative Normalization for Continuous-Time Deep Neural Networks.
CoRR, 2024

Koopman form of nonlinear systems with inputs.
Autom., 2024

Meta-state-space learning: An identification approach for stochastic dynamical systems.
Autom., 2024

Unified Behavioral Data-Driven Performance Analysis A Generalized Plant Approach.
Proceedings of the European Control Conference, 2024

Unconstrained Parameterization of Stable LPV Input-Output Models: with Application to System Identification.
Proceedings of the European Control Conference, 2024

Gaussian-Process-Based Adaptive Trajectory Tracking Control for Autonomous Ground Vehicles.
Proceedings of the European Control Conference, 2024

Computationally Efficient Sampling-Based Algorithm for Stability Analysis of Nonlinear Systems.
Proceedings of the European Control Conference, 2024

2023
Deep subspace encoders for nonlinear system identification.
Autom., October, 2023

Automated multi-objective system identification using grammar-based genetic programming.
Autom., August, 2023

Convex incremental dissipativity analysis of nonlinear systems.
Autom., April, 2023

LPV-ARX representations of LPV state-space models with affine dependence.
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

On Improved Commutation for Moving-Magnet Planar Actuators.
IEEE Control. Syst. Lett., 2023

Learning Reduced-Order Linear Parameter-Varying Models of Nonlinear Systems.
CoRR, 2023

A Linear Parameter-Varying Approach to Data Predictive Control.
CoRR, 2023

Curve Trajectory Model for Human Preferred Path Planning of Automated Vehicles.
CoRR, 2023

Equilibrium-Independent Control of Continuous-Time Nonlinear Systems via the LPV Framework - Extended Version.
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

Payload Grasping and Transportation by a Quadrotor with a Hook-Based Manipulator.
CoRR, 2023

Direct data-driven signal temporal logic control of linear systems.
CoRR, 2023

Initialization Approach for Nonlinear State-Space Identification via the Subspace Encoder Approach.
CoRR, 2023

Exploring the use of deep learning in task-flexible ILC.
CoRR, 2023

Finite Dimensional Koopman Form of Polynomial Nonlinear Systems.
CoRR, 2023

Continuous-time identification of dynamic state-space models by deep subspace encoding.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning Stable and Robust Linear Parameter-Varying State-Space Models.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Direct Data-Driven State-Feedback Control of General Nonlinear Systems.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Kernel-Based Learning of Stable Nonlinear State-Space Models.
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

Computationally Efficient Predictive Control Based on ANN State-Space Models.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Exploring the use of deep learning in task-flexible ILC<sup>*</sup>.
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

Frequency Response Data-Driven LPV Controller Synthesis for MIMO Systems.
IEEE Control. Syst. Lett., 2022

Direct data-driven LPV control of nonlinear systems: An experimental result.
CoRR, 2022

Direct Data-Driven State-Feedback Control of Linear Parameter-Varying Systems.
CoRR, 2022

Learning For Predictive Control: A Dual Gaussian Process Approach.
CoRR, 2022

On modal observers for beyond rigid body H<sub>∞</sub> control in high-precision mechatronics.
CoRR, 2022

Optimal Synthesis of LTI Koopman Models for Nonlinear Systems with Inputs.
CoRR, 2022

LPV Modeling of the Atmospheric Flight Dynamics of a Generic Parafoil Return Vehicle.
CoRR, 2022

Deep subspace encoders for continuous-time state-space identification.
CoRR, 2022

LPV sequential loop closing for high-precision motion systems.
CoRR, 2022

On discretization of continuous-time LPV control solutions.
CoRR, 2022

Deep-Learning-Based Identification of LPV Models for Nonlinear Systems.
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

LPV sequential loop closing for high-precision motion systems<sup>*</sup>.
Proceedings of the American Control Conference, 2022

2021
Frequency-Domain Data-Driven Controller Synthesis for Unstable LPV Systems.
CoRR, 2021

Identification of the nonlinear steering dynamics of an autonomous vehicle.
CoRR, 2021

LPVcore: MATLAB Toolbox for LPV Modelling, Identification and Control.
CoRR, 2021

Nonlinear Tracking and Rejection using Linear Parameter-Varying Control.
CoRR, 2021

Nonlinear parameter-varying state-feedback design for a gyroscope using virtual control contraction metrics.
CoRR, 2021

Data-Driven Predictive Control for Linear Parameter-Varying Systems.
CoRR, 2021

LPV Modeling of Nonlinear Systems: A Multi-Path Feedback Linearization Approach.
CoRR, 2021

Incremental Stability and Performance Analysis of Discrete-Time Nonlinear Systems using the LPV Framework.
CoRR, 2021

Linear parameter-varying subspace identification: A unified framework.
Autom., 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

Nonlinear state-space identification using deep encoder networks.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Fundamental Lemma for Data-Driven Analysis of Linear Parameter-Varying Systems.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Learning Based Model Predictive Control for Quadcopters with Dual Gaussian Process.
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

Deep Identification of Nonlinear Systems in Koopman Form.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

On feedforward control of piezoelectric dual-stage actuator systems.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

On the Use of the Smith-McMillan Form in Decoupling System Dynamics.
Proceedings of the 2021 American Control Conference, 2021

2020
Toolbox for Discovering Dynamic System Relations via TAG Guided Genetic Programming.
CoRR, 2020

Non-linear State-space Model Identification from Video Data using Deep Encoders.
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

Convex Incremental Dissipativity Analysis of Nonlinear Systems.
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

A Tree Adjoining Grammar representation for models of stochastic dynamical systems.
Autom., 2020

Heterogeneously parameterized tube model predictive control for LPV systems.
Autom., 2020

Pitfalls of Guaranteeing Asymptotic Stability in LPV Control of Nonlinear Systems.
Proceedings of the 18th European Control Conference, 2020

SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Scheduling Dimension Reduction of LPV Models - A Deep Neural Network Approach.
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

Grammar-based Representation and Identification of Dynamical Systems.
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

Towards Data-Driven LPV Controller Synthesis Based on Frequency Response Functions.
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

Linear Parameter Varying Representation of a class of MIMO Nonlinear Systems.
CoRR, 2018

From Nonlinear Identification to Linear Parameter Varying Models: Benchmark Examples.
CoRR, 2018

Feedforward Control of Magnetically Levitated Planar Actuators.
CoRR, 2018

State-space LPV model identification using kernelized machine learning.
Autom., 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

Towards efficient maximum likelihood estimation of LPV-SS models.
Autom., 2018

On the Simulation of Polynomial NARMAX Models.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Parameter-Dependent Feedforward Strategies for Motion Systems.
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

Realization Theory for LPV State-Space Representations With Affine Dependence.
IEEE Trans. Autom. Control., 2017

Stabilizing Tube-Based Model Predictive Control: Terminal Set and Cost Construction for LPV Systems (extended version).
CoRR, 2017

Fixed-structure LPV-IO controllers: An implicit representation based approach.
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

Stabilizing non-linear MPC using linear parameter-varying representations.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Stochastic model predictive control for LPV systems.
Proceedings of the 2017 American Control Conference, 2017

2016
A Kernel-Based PCA Approach to Model Reduction of Linear Parameter-Varying Systems.
IEEE Trans. Control. Syst. Technol., 2016

A Robust MPC for Input-Output LPV Models.
IEEE Trans. Autom. Control., 2016

On the Connection Between Different Noise Structures for LPV-SS Models.
CoRR, 2016

Direct learning of LPV controllers from data.
Autom., 2016

Event-triggered fault detection for discrete-time LPV systems.
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

Event-triggered control for discrete-time linear parameter-varying systems.
Proceedings of the 2016 American Control Conference, 2016

LPV State-space model identification in the Bayesian setting: A 3-step procedure.
Proceedings of the 2016 American Control Conference, 2016

MPC for linear parameter-varying systems in input-output representation.
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

Bayesian identification of LPV Box-Jenkins models.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Moment matching based model reduction for LPV state-space models.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Data driven predictive control based on orthonormal basis functions.
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

An MPC approach for LPV systems in input-output form.
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

Reduced LPV model development and control of a solution copolymerization reactor.
Proceedings of the 2015 IEEE Conference on Control Applications, 2015

2014
Sparse Estimation of Polynomial and Rational Dynamical Models.
IEEE Trans. Autom. Control., 2014

A bias-corrected estimator for nonlinear systems with output-error type model structures.
Autom., 2014

Parameter Set-mapping using kernel-based PCA for linear parameter-varying systems.
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

A Bayesian approach for estimation of linear-regression LPV models.
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

Perspectives of data-driven LPV modeling of high-purity distillation columns.
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

LPV model order selection in an LS-SVM setting.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Direct data-driven control of linear parameter-varying systems.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012
On the Discretization of Linear Fractional Representations of LPV Systems.
IEEE Trans. Control. Syst. Technol., 2012

On the State-Space Realization of LPV Input-Output Models: Practical Approaches.
IEEE Trans. Control. Syst. Technol., 2012

Instrumental variable scheme for closed-loop LPV model identification.
Autom., 2012

Order and structural dependence selection of LPV-ARX models revisited.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Joint order and dependency reduction for LPV state-space models.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Fixed order LPV controller design for LPV models in input-output form.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Minimal LPV state-space realization driven set-membership identification.
Proceedings of the American Control Conference, 2012

2011
The Behavioral Approach to Linear Parameter-Varying Systems.
IEEE Trans. Autom. Control., 2011

Compressive System Identification in the Linear Time-Invariant framework.
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

Compressive System Identification of LTI and LTV ARX models.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Introducing instrumental variables in the LS-SVM based identification framework.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Informative data and identifiability in LPV-ARX prediction-error identification.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

LPV identification of high performance positioning devices.
Proceedings of the American Control Conference, 2011

Direct identification of continuous-time LPV models.
Proceedings of the American Control Conference, 2011

2010
Refined instrumental variable methods for identification of LPV Box-Jenkins models.
Autom., 2010

Identification of LPV output-error and Box-Jenkins models via optimal refined instrumental variable methods.
Proceedings of the American Control Conference, 2010

State-Space realization of LPV Input-Output models: practical methods for the user.
Proceedings of the American Control Conference, 2010

2009
Asymptotically optimal orthonormal basis functions for LPV system identification.
Autom., 2009

A behavioral approach to LPV systems.
Proceedings of the 10th European Control Conference, 2009

Discretization of Linear Fractional Representations of LPV systems.
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
Flexible model structures for LPV identification with static scheduling dependency.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

2007
LPV system identification with globally fixed orthonormal basis functions.
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


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