4 citations · 6 across the 6 of their papers we have counts for
14 papers · 1 filter
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…
Non-linear State-space Model Identification from Video Data using Deep Encoders
Gerben Izaak Beintema, Roland Toth, Maarten Schoukens
Identifying systems with high-dimensional inputs and outputs, such as systems measured by video streams, is a challenging problem with numerous applications in robotics, autonomous…
Linear Parameter-Varying Embedding of Nonlinear Models with Reduced Conservativeness
Arash Sadeghzadeh, Roland Toth
In this paper, a systematic approach is developed to embed the dynamical description of a nonlinear system into a linear parameter-varying (LPV) system representation. Initially, t…