Jeroen van Helvoort

Eindhoven University of Technology, Systems Technology (United States)

Papers

Total Citations

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About

Jeroen van Helvoort is a researcher in motion control and robotics, with a focus on data-driven control design and gain-scheduling techniques. His work bridges analytical modeling and experimental validation, particularly for complex robotic systems. His most-cited paper, "Analytical and Experimental Modelling for Gain-Scheduling of a Double Scara Robot" (2004, 15 citations), demonstrates his ability to combine theoretical rigor with practical implementation, addressing the challenges of nonlinear robot dynamics. In his 2005 paper "Data-based control of motion systems" (10 citations), van Helvoort explores model-free feedback control approaches that leverage the ease of experimentation in motion systems, proposing methods to design linear controllers directly from data. This work contributes to the growing field of data-driven control, offering alternatives to traditional model-based methods. While his citation counts are modest, his research is valued for its practical orientation and clear methodology. Van Helvoort's contributions are particularly relevant for students and engineers working on motion control, robotics, and system identification, providing accessible frameworks for designing controllers without detailed system models.