Items where Author is "Tóth, Roland"

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Number of items: 63.

2020

DateAuthor/TitleDocument Type
2020Sadeghzadeh, A and Sharif, B and Tóth, Roland
Affine linear parameter-varying embedding of non-linear models with improved accuracy and minimal overbounding
Article

2021

DateAuthor/TitleDocument Type
2021Verhoek, C and Abbas, H S and Tóth, Roland and Haesaert, S
Data-Driven Predictive Control for Linear Parameter-Varying Systems
Article
2021Nechita, S-C and Tóth, Roland and van, Berkel K
Data-driven System Identification of Thermal Systems using Machine Learning
Article
2021Rödönyi, Gábor and Tóth, Roland and Pup, Dániel and Kisari, Ádám and Vigh, Zsombor and Kőrös, Péter and Bokor, József
Data-driven linear parameter-varying modelling of the steering dynamics of anautonomous car
Article
2021Iacob, L C and Beintema, G I and Schoukens, M and Tóth, Roland
Deep Identification of Nonlinear Systems in Koopman Form
Book Section
2021Bloemers, T and Tóth, Roland and Oomen, Tom
Frequency-Domain Data-Driven Controller Synthesis for Unstable LPV Systems
Article
2021Verhoek, C and Tóth, Roland and Haesaert, S and Koch, A
Fundamental Lemma for Data-Driven Analysis of Linear Parameter-Varying Systems
Book Section
2021Rödönyi, Gábor and Beintema, G I and Tóth, Roland and Schoukens, M and Pup, Dániel and Kisari, Ádám and Vigh, Zsombor and Kőrös, Péter and Soumelidis, Alexandros and Bokor, József
Identification of the nonlinear steering dynamics of an autonomous vehicle
Article
2021Koelewijn, P J W and Tóth, Roland and Weiland, S
Incremental Dissipativity based Control of Discrete-Time Nonlinear Systems via the LPV Framework
Book Section
2021Koelewijn, P J W and Tóth, Roland
Incremental Stability and Performance Analysis of Discrete-Time Nonlinear Systems using the LPV Framework
Article
2021Abbas, H S and Tóth, Roland and Petreczky, M and Meskin, N and Velni, J M
LPV modeling of nonlinear systems: A multi‐path feedback linearization approach
Article
2021den, Boef P and Cox, P B and Tóth, Roland
LPVcore: MATLAB Toolbox for LPV Modelling, Identification and Control
Article
2021Liu, Y and Tóth, Roland
Learning Based Model Predictive Control for Quadcopters with Dual Gaussian Process
Book Section
2021Proimadis, J and Broens, Y and Tóth, Roland and Butler, H
Learning-based feedforward augmentation for steady state rejection of residual dynamics on a nanometer-accurate planar actuator system
Article
2021Cox, P B and Tóth, Roland
Linear parameter-varying subspace identification: A unified framework
Article
2021Beintema, G I and Tóth, Roland and Schoukens, M
Non-linear State-space Model Identification from Video Data using Deep Encoders
Article
2021Wang, R and Koelewijn, P J W and Manchester, I R and Tóth, Roland
Nonlinear parameter‐varying state‐feedback design for a gyroscope using virtual control contraction metrics
Article
2021Bosman, Barros C P and Butler, H and van, de Wijdeven J and Tóth, Roland
On feedforward control of piezoelectric dual-stage actuator systems
Book Section
2021Bosman, Barros C P and Butler, H and Tóth, Roland
On the Use of the Smith-McMillan Form in Decoupling System Dynamics
Book Section
2021Hanema, J and Tóth, Roland and Lazar, M
Stabilizing non‐linear model predictive control using linear parameter‐varying embeddings and tubes
Article
2021Nechita, S-C and Tóth, Roland and Khandelwal, D and Schoukens, M
Toolbox for Discovering Dynamic System Relations via TAG Guided Genetic Programming
Article

2022

DateAuthor/TitleDocument Type
2022Proimadis, I and Custers, C and Tóth, Roland and Jansen, J W and Butler, H
Active deformation control for a magnetically-levitated planar motor mover
Article
2022Verhoek, C and Beintema, G I and Haesaert, S and Schoukens, M and Tóth, Roland
Deep-Learning-Based Identification of LPV Models for Nonlinear Systems
Book Section
2022Bloemers, T. and Oomen, T. and Tóth, Roland
Frequency Response Data-Based LPV Controller Synthesis Applied to a Control Moment Gyroscope
Article
2022Bloemers, T and Oomen, T and Tóth, Roland
Frequency Response Data-driven LPV Controller Synthesis for MIMO Systems
Article
2022Bloemers, T A H and Oomen, T A E and Tóth, Roland
Frequency Response Data-driven LPV Controller Synthesis for MIMO Systems
Book Section
2022de, Lange M H and Verhoek, C and Preda, V and Tóth, Roland
LPV Modeling of the Atmospheric Flight Dynamics of a Generic Parafoil Return Vehicle
Article
2022Broens, Y and Butler, H and Tóth, Roland
LPV sequential loop closing for high-precision motion systems *
Book Section
2022Antal, Péter and Péni, Tamás and Tóth, Roland
Nonlinear Control Method for Backflipping with Miniature Quadcopters
Article
2022Broens, Y and Butler, H and Tóth, Roland
On modal observers for beyond rigid body H_inf control in high-precision mechatronics
Book Section
2022Iacob, L C and Tóth, Roland and Schoukens, M
Optimal Synthesis of LTI Koopman Models for Nonlinear Systems with Inputs
Article

2023

DateAuthor/TitleDocument Type
2023Khandelwal, D and Schoukens, M and Tóth, Roland
Automated multi-objective system identification using grammar-based genetic programming
Article
2023Antal, Péter and Péni, Tamás and Tóth, Roland
Autonóm kvadkopterek modellezése, identifikációja és geometriai szabályozása agilis manőverezéshez
Article
2023Hoekstra, J H and Cseppentő, Bence and Beintema, G I and Schouken, M and Kollár, Zsolt and Tóth, Roland
Computationally efficient predictive control based on ANN state-space models
Book Section
2023Beintema, G I and Schoukens, M and Tóth, Roland
Continuous-time identification of dynamic state-space models by deep subspace encoding
Conference or Workshop Item
2023Verhoek, C and Koelewijn, P J W and Haesaert, S and Tóth, Roland
Convex incremental dissipativity analysis of nonlinear systems
Article
2023Beintema, G I and Schoukens, M and Tóth, Roland
Deep subspace encoders for nonlinear system identification
Article
2023Kon, J and van de Wijdeven, J and Bruijnen, D and Tóth, Roland and Heertjes, M and Oomen, T
Direct Learning for Parameter-Varying Feedforward Control: A Neural-Network Approach
Book Section
2023Verhoek, C and Abbas, H S and Tóth, Roland
Direct data-driven LPV control of nonlinear systems: An experimental result
Article
2023Verhoek, C and Koelewijn, P J W and Haesaer, S and Tóth, Roland
Direct data-driven state-feedback control of general nonlinear systems
Book Section
2023Polcz, Péter and Péni, Tamás and Tóth, Roland
Efficient implementation of Gaussian process–based predictive control by quadratic programming
Article
2023Vinjarapu, A S H and Broens, Y and Butler, H and Tóth, Roland
Exploring the use of deep learning in task-flexible ILC
Book Section
2023Iacob, L C and Schoukens, M and Tóth, Roland
Finite Dimensional Koopman Form of Polynomial Nonlinear Systems*
Article
2023Sadeghzadeh, A and Tóth, Roland
Improved Embedding of Nonlinear Systems in Linear Parameter-Varying Models with Polinomial Dependence
Article
2023Ramkannan, R and Beintema, G I and Tóth, Roland and Schoukens, M
Initialization Approach for Nonlinear State-Space Identification via the Subspace Encoder Approach
Article
2023Shakib, M F and Tóth, Roland and Pogromsky, A Y and Pavlov, A and van de Wouw, N
Kernel-based learning of stable nonlinear state-space models
Book Section
2023Petreczky, M and Tóth, Roland and Mercère, G
LPV-ARX representations of LPV state-space models with affine dependence
Article
2023Verhoek, C and Wang, R and Tóth, Roland
Learning Stable and Robust Linear Parameter-Varying State-Space Models
Book Section
2023Petreczky, M and Tóth, Roland and Mercere, G
Minimal Realizations of Input-Output Behaviors by LPV State-Space Representations with Affine Dependence
Article
2023Petreczky, M and Tóth, Roland and Mercére, G
Minimal realizations of input-output behaviors by LPV state-space representations with affine dependence
Book Section
2023Broens, Y and Butler, H and Tóth, Roland
On Improved Commutation for Moving-Magnet Planar Actuators
Article
2023Broens, Y and Butler, H and Tóth, Roland
On Improved Commutation for Moving-Magnet Planar Actuators
Book Section
2023Moradi, S and Jaensson, N and Tóth, Roland and Schoukens, M
Physics-Informed Learning Using Hamiltonian Neural Networks with Output Error Noise Models
Article

2024

DateAuthor/TitleDocument Type
2024Liu, Y and Wang, P and Lee, C and Tóth, Roland
Attitude Takeover Control for Noncooperative Space Targets Based on Gaussian Processes with Online Model Learning
Article
2024Antal, Péter and Péni, Tamás and Tóth, Roland
Backflipping With Miniature Quadcopters by Gaussian-Process-Based Control and Planning
Article
2024Koelewijn, P J W and Weiland, S and Tóth, Roland
Convex equilibrium-free stability and performance analysis of discrete-time nonlinear systems
Article
2024Ignéczi, Gergő Ferenc and Horváth, Ernő and Tóth, Roland and Nyilas, K
Curve Trajectory Model for Human Preferred Path Planning of Automated Vehicles
Article
2024Kon, J and Tóth, Roland and Wijdeven, J V D and Heertjes, M and Oomen, T
Guaranteeing Stability in Structured Input-Output Models: With Application to System Identification
Article
2024Iacob, L C and Tóth, Roland and Schoukens, M
Koopman form of nonlinear systems with inputs
Article
2024Retzler, András and Tóth, Roland and Schoukens, M and Beintema, G I and Weigand, J and Noël, J-P and Kollár, Zsolt and Swevers, J
Learning-based augmentation of physics-based models: an industrial robot use case
Article
2024Beintema, G I and Schoukens, M and Tóth, Roland
Meta-state–space learning: An identification approach for stochastic dynamical systems
Article
2024Bloemers, T and Leemrijse, S and Preda, V and Boquet, F and Oomen, T and Tóth, Roland
Vibration Control Under Frequency-Varying Disturbances With Application to Satellites
Article
2024Wang, R and Tóth, Roland and Koelewijn, P J W and Manchester, I R
Virtual control contraction metrics: Convex nonlinear feedback design via behavioral embedding
Article
This list was generated on Thu Dec 5 03:06:56 2024 CET.