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2020 – today
- 2023
[c6]Edward Kikken, Jeroen Willems, Bruno Depraetere:
Optimal Motion Control using Neural Networks Applied to a Slider-Crank Mechanism. CCTA 2023: 1146-1152- [c5]Edward Kikken, Jeroen Willems, Rob Salaets, Erik Hostens:
Probabilistic Physics-Augmented Neural Networks for Robust Control Applied to a Slider-Crank System. ICINCO (1) 2023: 152-161 - [c4]Rian Beck, Sudarsan Kumar Venkatesan, Joram Meskens, Jeroen Willems, Edward Kikken, Bruno Depraetere:
A Clustering-Based Approach for Adaptive Control Applied to a Hybrid Electric Vehicle. ICINCO (1) 2023: 162-171 - 2021
- [c3]Sam Weckx, Steven Robyns, Jonathan Baake, Edward Kikken
, Roeland De Geest, Merwan Birem, Davy Maes:
A cloud-based digital twin for monitoring of an adaptive clamping mechanism used for high performance composite machining. ISM 2021: 227-236
2010 – 2019
- 2019
- [c2]Wannes De Groote, Edward Kikken, Srajan Goyal, Sofie Van Hoecke, Erik Hostens, Guillaume Crevecoeur:
Hybrid derivative functions for identification of unknown loads and physical parameters with application on slider-crank mechanism. AIM 2019: 1049-1054 - [i1]Wannes De Groote, Edward Kikken, Erik Hostens, Sofie Van Hoecke, Guillaume Crevecoeur:
Neural Network Augmented Physics Models for Systems with Partially Unknown Dynamics: Application to Slider-Crank Mechanism. CoRR abs/1910.12212 (2019) - 2014
- [c1]Robbert van Herpen, Tom Oomen, Edward Kikken, Marc M. J. van de Wal, Wouter H. T. M. Aangenent, Maarten Steinbuch:
Exploiting additional actuators and sensors for nano-positioning robust motion control. ACC 2014: 984-990
Coauthor Index
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