Ghent University Academic Bibliography

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Spectral characterization of nonlinear load torque effects in linear tooth belt-driven systems

Kwinten Mortier (UGent) , Jeroen De Kooning (UGent) , Niko Nevaranta, Tuomo Lindh and Kurt Stockman (UGent)

(2025) IECON 2025-51ST ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY.
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Evaluation of measurement noise and sampling frequency for online identification of end effector stiffness and damping in a Cartesian robot

Arul Mathivanan (UGent) , Jeroen De Kooning (UGent) , Niko Nevaranta, Tuomo Lindh and Kurt Stockman (UGent)

(2025) 2025 13TH INTERNATIONAL CONFERENCE ON CONTROL, MECHATRONICS AND AUTOMATION, ICCMA. In International Conference on Control Mechatronics and Automation p.117-123
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Online tracking of varying inertia using a SDFT approach

Foeke Vanbecelaere, Stijn Derammelaere (UGent) , Niko Nevaranta, Jasper De Viaene (UGent) , Florian Verbelen (UGent) , Kurt Stockman (UGent) and Michael Monte (UGent)

(2020) MECHATRONICS. 68.
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- Journal Article
- A1
- open access
Online identification of a two-mass system in frequency domain using a Kalman filter

Niko Nevaranta, Stijn Derammelaere (UGent) , Jukka Parkkinen, Bram Vervisch (UGent) , Tuomo Lindh, Markku Niemela and Olli Pyrhonen

(2016) MODELING IDENTIFICATION AND CONTROL. 37(2). p.133-147
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Online identification of a mechanical system in frequency domain using sliding DFT

Niko Nevaranta, Stijn Derammelaere (UGent) , Jukka Parkkinen, Bram Vervisch (UGent) , Tuomo Lindh, Kurt Stockman (UGent) , Markku Niemelä, Olli Pyrhönen and Juha Pyrhönen

(2016) IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS. 63(9). p.5712-5723

Academic Bibliography

Spectral characterization of nonlinear load torque effects in linear tooth belt-driven systems

Evaluation of measurement noise and sampling frequency for online identification of end effector stiffness and damping in a Cartesian robot

Online tracking of varying inertia using a SDFT approach

Online identification of a two-mass system in frequency domain using a Kalman filter

Online identification of a mechanical system in frequency domain using sliding DFT

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