Arjen den Hamer
Papers
1
Total Citations
10
H-Index
1
About
Arjen den Hamer is a control systems researcher whose work centers on data-driven controller tuning and its real-world application in robotics and precision motion systems. His key contributions lie in developing non-iterative, correlation-based tuning methods that guarantee closed-loop stability—a critical advancement that bridges the gap between theoretical control design and practical implementation. His most cited work, a 2010 paper on applying this technique to a direct-drive pick-and-place robot, demonstrates how a sufficient H∞ stability condition can be embedded directly into the tuning process, eliminating the need for iterative trial-and-error. This approach has proven vital for high-performance industrial automation, where system downtime for tuning is costly. With over 10 citations on this flagship paper alone, den Hamer’s research has influenced both academic control theory and industrial practice, providing engineers with robust, data-efficient tools for optimizing motion control without requiring an explicit plant model. His work continues to shape the development of intelligent, self-tuning robotic systems.
Research Focus
Key Achievements
Top Papers
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