67 citations · 219 across the 10 of their papers we have counts for
10 papers
Inference and Learning of Nonlinear LFR State-Space Models
Merijn Floren, Jean-Philippe Noël, Jan Swevers
Estimating the parameters of nonlinear block-oriented state-space models from input-output data typically involves solving a highly non-convex optimization problem, which is prone…
An optimal open-loop strategy for handling a flexible beam with a robot manipulator
Shamil Mamedov, Alejandro Astudillo, Daniele Ronzani +3
Fast and safe manipulation of flexible objects with a robot manipulator necessitates measures to cope with vibrations. Existing approaches either increase the task execution time o…
Feedback linearisation of mechanical systems using data-driven models
Merijn Floren, Koen Classens, Tom Oomen +1
Linearising the dynamics of nonlinear mechanical systems is an important and open research area. A common approach is feedback linearisation, which is a nonlinear control method th…
Experimental assessment of polynomial nonlinear state-space and nonlinear-mode models for near-resonant vibrations
Maren Scheel, Gleb Kleyman, Ali Tatar +5
In the present paper, two existing nonlinear system identification methodologies are used to identify data-driven models. The first methodology focuses on identifying the system us…
Grey-box state-space identification of nonlinear mechanical vibrations
Jean-Philippe Noël, Johan Schoukens
The present paper deals with the identification of nonlinear mechanical vibrations. A grey-box, or semi-physical, nonlinear state-space representation is introduced, expressing the…
Parameter reduction in nonlinear state-space identification of hysteresis
Alireza Fakhrizadeh Esfahani, Philippe Dreesen, Koen Tiels +2
Hysteresis is a highly nonlinear phenomenon, showing up in a wide variety of science and engineering problems. The identification of hysteretic systems from input-output data is a…