55 citations · 137 across the 38 of their papers we have counts for
5 papers · 1 filter
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…
Nonlinear state-space identification using deep encoder networks
Gerben Beintema, Roland Toth, Maarten Schoukens
Nonlinear state-space identification for dynamical systems is most often performed by minimizing the simulation error to reduce the effect of model errors. This optimization proble…
On the Initialization of Nonlinear LFR Model Identification with the Best Linear Approximation
Maarten Schoukens, Roland Toth
Balancing the model complexity and the representation capability towards the process to be captured remains one of the main challenges in nonlinear system identification. One possi…
A Tree Adjoining Grammar Representation for Models Of Stochastic Dynamical Systems
Dhruv Khandelwal, Maarten Schoukens, Roland Tóth
Model structure and complexity selection remains a challenging problem in system identification, especially for parametric non-linear models. Many Evolutionary Algorithm (EA) based…