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Edward Kikken

1 paper hereh-index 249 citations9 works total

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  • middle author1

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  • eess.SY1

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most citedNeural Network Augmented Physics Models for Systems with Partially Unknown Dynamics: Application to Slider-Crank Mechanism

53 citations · 53 across the 1 of their papers we have counts for

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eess.SY2019★ 53 cited

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.