Roland Tóth

发表

Stochastic model predictive control for LPV systems

Javad Mohammadpour, Nader Meskin, Shaikshavali Chitraganti, 2017, 2017 American Control Conference (ACC).

A Bayesian approach for estimation of linear-regression LPV models

Javad Mohammadpour, Nader Meskin, Roland Tóth, 2014, 53rd IEEE Conference on Decision and Control.

On the Connection Between Different Noise Structures for LPV-SS Models pdf

Roland Tóth, Pepijn Bastiaan Cox, R. Tóth, 2016, ArXiv.

Introducing instrumental variables in the LS-SVM based identification framework

Wei Xing Zheng, Roland Tóth, Vincent Laurain, 2011, IEEE Conference on Decision and Control and European Control Conference.

CVA identification of nonlinear systems with LPV state-space models of affine dependence

Roland Tóth, Wallace E. Larimore, Pepijn B. Cox, 2015, 2015 American Control Conference (ACC).

A bias-corrected estimator for nonlinear systems with output-error type model structures

Roland Tóth, Dario Piga, R. Tóth, 2014, Autom..

A Robust MPC for Input-Output LPV Models

Javad Mohammadpour, Hossam Seddik Abbas, Nader Meskin, 2016, IEEE Transactions on Automatic Control.

Fixed-structure LPV controller synthesis based on implicit input output representations

Hossam Seddik Abbas, Herbert Werner, Roland Tóth, 2013, 52nd IEEE Conference on Decision and Control.

Data-driven LPV synthesis: the FIR controller case

Roland Tóth, Tom Oomen, Tom Bloemers, 2019 .

LPV system identification with globally fixed orthonormal basis functions

Roland Tóth, Peter S. C. Heuberger, Paul M. J. Van den Hof, 2007, 2007 46th IEEE Conference on Decision and Control.

Asymptotically optimal orthonormal basis functions for LPV system identification

Roland Tóth, Peter S. C. Heuberger, Paul M. J. Van den Hof, 2009, Autom..

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

Ali Mesbah, Roland Tóth, Jobert H. A. Ludlage, 2013, 2013 European Control Conference (ECC).

Non-parametric identification of linear parameter-varying spatially-interconnected systems using an LS-SVM approach

Javad Mohammadpour, Nader Meskin, Roland Tóth, 2016, 2016 American Control Conference (ACC).

An MPC approach for LPV systems in input-output form

Javad Mohammadpour, Hossam Seddik Abbas, Nader Meskin, 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

Tube-based anticipative model predictive control for linear parameter-varying systems

Roland Tóth, Mircea Lazar, Jurre Hanema, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

On the Discretization of Linear Fractional Representations of LPV Systems

Marco Lovera, Roland Tóth, Peter S. C. Heuberger, 2009, IEEE Transactions on Control Systems Technology.

The quest for the right kernel in Bayesian impulse response identification: The use of OBFs

Mohamed Darwish, Roland Tóth, Gianluigi Pillonetto, 2018, Autom..

On the Discretization of Linear Fractional Representations of LPV Systems

Marco Lovera, Matteo Corno, Roland Tóth, 2012, IEEE Trans. Control. Syst. Technol..

Sparse Estimation of Polynomial and Rational Dynamical Models

Håkan Hjalmarsson, Cristian R. Rojas, Roland Tóth, 2014, IEEE Transactions on Automatic Control.

Order and structural dependence selection of LPV-ARX models using a nonnegative garrote approach

Roland Tóth, Peter S. C. Heuberger, Christian Lyzell, 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

Compressive System Identification in the Linear Time-Invariant framework

Tyrone L. Vincent, Kameshwar Poolla, Roland Tóth, 2011, IEEE Conference on Decision and Control and European Control Conference.

A Bayesian approach for model identification of LPV systems with uncertain scheduling variables

Javad Mohammadpour, Nader Meskin, Roland Tóth, 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

LPV state-space identification via IO methods and efficient model order reduction in comparison with subspace methods

Herbert Werner, Roland Tóth, Pepijn B. Cox, 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).

Affine Parameter-Dependent Lyapunov Functions for LPV Systems With Affine Dependence

Siep Weiland, Roland Tóth, Pepijn B. Cox, 2018, IEEE Transactions on Automatic Control.

Joint order and dependency reduction for LPV state-space models

Siep Weiland, Roland Tóth, Muhammad Mohsin Siraj, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

Bayesian identification of LPV Box-Jenkins models

Mohamed Darwish, Roland Tóth, Gianluigi Pillonetto, 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

Compressive System Identification of LTI and LTV ARX models

Tyrone L. Vincent, Kameshwar Poolla, Michael B. Wakin, 2011, IEEE Conference on Decision and Control and European Control Conference.

Event-triggered control for discrete-time linear parameter-varying systems

Javad Mohammadpour, Nader Meskin, Roland Tóth, 2016, 2016 American Control Conference (ACC).

Flexible model structures for LPV identification with static scheduling dependency

Roland Tóth, Peter S. C. Heuberger, Paul M. J. Van den Hof, 2008, 2008 47th IEEE Conference on Decision and Control.

Stabilizing non-linear MPC using linear parameter-varying representations

Roland Tóth, Mircea Lazar, Jurre Hanema, 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).

Realization Theory for LPV State-Space Representations With Affine Dependence

Roland Tóth, Mihály Petreczky, Guillaume Mercère, 2016, IEEE Transactions on Automatic Control.

The Behavioral Approach to Linear Parameter-Varying Systems

Jan C. Willems, Roland Tóth, Peter S. C. Heuberger, 2011, IEEE Transactions on Automatic Control.

Reduced LPV model development and control of a solution copolymerization reactor

Javad Mohammadpour, Hossam Seddik Abbas, Nader Meskin, 2015, 2015 IEEE Conference on Control Applications (CCA).

A Comparison of LPV Gain Scheduling and Control Contraction Metrics for Nonlinear Control pdf

Ian R. Manchester, Ruigang Wang, Roland Tóth, 2019, ArXiv.

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

Javad Mohammadpour, Nader Meskin, Roland Tóth, 2014, European Control Conference.

Shrinking complexity of scheduling dependencies in LS-SVM based LPV system identification

Roland Tóth, Dario Piga, Vincent Laurain, 2014, 53rd IEEE Conference on Decision and Control.

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

Roland Tóth, Mircea Lazar, Jurre Hanema, 2017, Autom..

LPV system identification under noise corrupted scheduling and output signal observations

Roland Tóth, Dario Piga, Vincent Laurain, 2015, Autom..

Informative data and identifiability in LPV-ARX prediction-error identification

Xavier Bombois, Roland Tóth, Arne G. Dankers, 2011, IEEE Conference on Decision and Control and European Control Conference.

An instrumental least squares support vector machine for nonlinear system identification

Wei Xing Zheng, Roland Tóth, Dario Piga, 2013, Autom..

LPV State-space model identification in the Bayesian setting: A 3-step procedure

Roland Tóth, Pepijn B. Cox, R. Tóth, 2016, 2016 American Control Conference (ACC).

Alternative form of predictor based identification of LPV-SS models with innovation noise

Roland Tóth, Pepijn B. Cox, R. Tóth, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

Fixed order LPV controller design for LPV models in input-output form

Roland Tóth, Dario Piga, Vito Cerone, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

Towards Efficient Maximum Likelihood Estimation of LPV-SS Models

Roland Tóth, Mihály Petreczky, Pepijn B. Cox, 2018, Autom..

Prediction error identification of linear systems: A nonparametric Gaussian regression approach

Roland Tóth, Gianluigi Pillonetto, Mohamed Abdelmonim Hassan Darwish, 2011, Autom..

A Kernel-Based PCA Approach to Model Reduction of Linear Parameter-Varying Systems

Javad Mohammadpour, Nader Meskin, Roland Tóth, 2016, IEEE Transactions on Control Systems Technology.

A support vector machine-based method for LPV-ARX identification with noisy scheduling parameters

Javad Mohammadpour, Nader Meskin, Roland Tóth, 2014, 2014 European Control Conference (ECC).

On the State-Space Realization of LPV Input-Output Models: Practical Approaches

Hossam Seddik Abbas, Herbert Werner, Roland Tóth, 2012, IEEE Transactions on Control Systems Technology.

Model structure learning: A support vector machine approach for LPV linear-regression models

Wei Xing Zheng, Kameshwar Poolla, Roland Tóth, 2011, IEEE Conference on Decision and Control and European Control Conference.

LPV Modeling of Physical Systems

Roland Tóth, 2010 .

Grammar-based Representation and Identification of Dynamical Systems

Roland Tóth, Maarten Schoukens, Dhruv Khandelwal, 2018, 2019 18th European Control Conference (ECC).

Kernelized Identification of Linear Parameter-Varying Models with Linear Fractional Representation

Alberto Bemporad, Roland Tóth, Dario Piga, 2019, 2019 18th European Control Conference (ECC).

An IV-SVM-based approach for identification of state-space LPV models under generic noise conditions

Javad Mohammadpour, Nader Meskin, Roland Tóth, 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

State-space LPV model identification using kernelized machine learning

Javad Mohammadpour, Nader Meskin, Roland Tóth, 2018, Autom..

A behavioral approach to LPV systems

Jan C. Willems, Roland Tóth, Peter S. C. Heuberger, 2009, 2009 European Control Conference (ECC).

On the Simulation of Polynomial NARMAX Models

Roland Tóth, Maarten Schoukens, Dhruv Khandelwal, 2018, 2018 IEEE Conference on Decision and Control (CDC).

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

Hossam Seddik Abbas, Herbert Werner, Roland Tóth, 2017, Autom..

LPV Systems and Representations

Roland Tóth, 2010 .

Refined instrumental variable methods for identification of LPV Box-Jenkins models

Hugues Garnier, Roland Tóth, Marion Gilson, 2010, Autom..

Direct learning of LPV controllers from data

Sergio M. Savaresi, Simone Formentin, Roland Tóth, 2016, Autom..

Perspectives of orthonormal basis functions based kernels in Bayesian system identification?

Mohamed Darwish, Roland Tóth, Gianluigi Pillonetto, 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

An SDP approach for l0-minimization: Application to ARX model segmentation

Roland Tóth, Dario Piga, R. Tóth, 2013, Autom..

Direct data-driven control of linear parameter-varying systems

Sergio M. Savaresi, Simone Formentin, Roland Tóth, 2013, 52nd IEEE Conference on Decision and Control.

From Nonlinear Identification to Linear Parameter Varying Models: Benchmark Examples pdf

Roland Tóth, Maarten Schoukens, 2018, ArXiv.

Data-driven Modelling of Dynamical Systems Using Tree Adjoining Grammar and Genetic Programming

Roland Tóth, Maarten Schoukens, Dhruv Khandelwal, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

A Bayesian Approach for LPV Model Identification and Its Application to Complex Processes

Javad Mohammadpour, Nader Meskin, Roland Tóth, 2017, IEEE Transactions on Control Systems Technology.

Moment matching based model reduction for LPV state-space models

Rafael Wisniewski, John Leth, Denis V. Efimov, 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

Minimal LPV state-space realization driven set-membership identification

Roland Tóth, Dario Piga, Vito Cerone, 2012, 2012 American Control Conference (ACC).

Instrumental variable scheme for closed-loop LPV model identification

Hugues Garnier, Roland Tóth, Marion Gilson, 2012, Autom..

Order and structural dependence selection of LPV-ARX models revisited

Håkan Hjalmarsson, Cristian R. Rojas, Roland Tóth, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

Linear Parameter Varying Representation of a class of MIMO Nonlinear Systems pdf

Roland Tóth, Maarten Schoukens, R. Tóth, 2018, ArXiv.

LPV model order selection in an LS-SVM setting

Roland Tóth, Dario Piga, R. Tóth, 2013, 52nd IEEE Conference on Decision and Control.

LPV modeling of nonlinear systems: A multi‐path feedback linearization approach pdf

Javad Mohammadpour, Hossam S. Abbas, Nader Meskin, 2021, International journal of robust and nonlinear control.

Data-driven System Identification of Thermal Systems using Machine Learning

Roland Tóth, Koos van Berkel, Ştefan-Cristian Nechita, 2021, IFAC-PapersOnLine.

Identification of the nonlinear steering dynamics of an autonomous vehicle pdf

József Bokor, Alexandros Soumelidis, Gábor Rödönyi, 2021, IFAC-PapersOnLine.

AnSDPapproach for l 0-minimization : application toARX model segmentation

Roland Tóth, Dario Piga, 2013 .

Discretization of LPV Systems

Roland Tóth, 2010 .