Andrea Tilli
Papers
1
Total Citations
46
H-Index
1
About
Andrea Tilli is a leading researcher in motion control, robotics, and automation, with a particular focus on advanced estimation and control techniques for high-performance electromechanical systems. His foundational work on low-noise estimation of angular speed and acceleration from shaft encoder measurements, published in 2001, has garnered 46 citations and remains a key reference for engineers seeking to improve tracking accuracy in motion control applications. Tilli’s contributions address the critical challenge of extracting reliable velocity and acceleration signals from noisy encoder data, enabling more precise trajectory tracking in robotic and industrial automation systems. His research has helped advance cascade control architectures, which are essential for handling trajectories with large harmonic content. Beyond this seminal paper, Tilli has made notable contributions to nonlinear control, observer design, and the control of electric drives and power converters. His work is widely recognized for bridging theoretical rigor with practical implementation, making him a respected figure in the control systems community. For students and researchers, Tilli’s research offers a compelling example of how estimation theory directly enhances real-world motion control performance.
Research Focus
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Top Papers
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