38 citations · 239 across the 28 of their papers we have counts for
31 papers
Data-driven Dissipativity Analysis of Linear Parameter-Varying Systems
Chris Verhoek, Julian Berberich, Sofie Haesaert +2
We derive direct data-driven dissipativity analysis methods for Linear Parameter-Varying (LPV) systems using a single sequence of input-scheduling-output data. By means of construc…
Deep-Learning-Based Identification of LPV Models for Nonlinear Systems
Chris Verhoek, Gerben I. Beintema, Sofie Haesaert +2
The Linear Parameter-Varying (LPV) framework provides a modeling and control design toolchain to address nonlinear (NL) system behavior via linear surrogate models. Despite major r…
Identification of the nonlinear steering dynamics of an autonomous vehicle
G. Rödönyi, G. I. Beintema, R. Tóth +7
Automated driving applications require accurate vehicle specific models to precisely predict and control the motion dynamics. However, modern vehicles have a wide array of digital…
LPVcore: MATLAB Toolbox for LPV Modelling, Identification and Control
P. den Boef, P. B. Cox, R. Tóth
This paper describes the LPVcore software package for MATLAB developed to model, simulate, estimate and control systems via linear parameter-varying (LPV) input-output (IO), state-…
LPV Modeling of Nonlinear Systems: A Multi-Path Feedback Linearization Approach
Hossam S. Abbas, Roland Tóth, Mihály Petreczky +3
This paper introduces a systematic approach to synthesize linear parameter-varying (LPV) representations of nonlinear (NL) systems which are described by input affine state-space (…
Toolbox for Discovering Dynamic System Relations via TAG Guided Genetic Programming
Stefan-Cristian Nechita, Roland Toth, Dhruv Khandelwal +1
Data-driven modeling of nonlinear dynamical systems often require an expert user to take critical decisions a priori to the identification procedure. Recently an automated strategy…