31 citations · 32 across the 10 of their papers we have counts for
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eess.SY2019
Neural Network Augmented Physics Models for Systems with Partially Unknown Dynamics: Application to Slider-Crank Mechanism
Wannes De Groote, Edward Kikken, Erik Hostens +2
Dynamic models of mechatronic systems are abundantly used in the context of motion control and design of complex servo applications. In practice, these systems are often plagued by…
stat.AP2019
Inverse Parametric Uncertain Identification using Polynomial Chaos and high-order Moment Matching benchmarked on a Wet Friction Clutch
Wannes De Groote, Tom Lefebvre, Georges Tod +4
A numerically efficient inverse method for parametric model uncertainty identification using maximum likelihood estimation is presented. The goal is to identify a probability model…