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20222024
most citedData-Driven Predictive Control of Nonholonomic Robots Based on a Bilinear Koopman Realization: Data Does Not Replace Geometry

8 citations · 13 across the 3 of their papers we have counts for

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eess.SY2024★ 8 cited

Data-Driven Predictive Control of Nonholonomic Robots Based on a Bilinear Koopman Realization: Data Does Not Replace Geometry

Mario Rosenfelder, Lea Bold, Hannes Eschmann +3

Advances in machine learning and the growing trend towards effortless data generation in real-world systems has led to an increasing interest for data-inferred models and data-base…

eess.SY2022★ 4 cited

Identification of Friction Models for MPC-based Control of a PowerCube Serial Robot

Jörg Fehr, Arnim Kargl, Hannes Eschmann

For model-based control, an accurate and in its complexity suitable representation of the real system is a decisive prerequisite for high and robust control quality. In a structure…