معرفی
Michiel Beijen is an Assistant Professor in the Applied Mechanics department, specializing in advanced control systems and vibration isolation. His research focuses on hybrid control strategies, feedforward control mechanisms, and adaptive control systems applied to vibration isolation in industrial and precision engineering contexts.
Research Interests include vibration isolation techniques, feedforward and feedback control integration, model reference adaptive control, and parameter estimation in dynamic systems. His work emphasizes practical implementation in multi-axis systems and industrial applications.
Recent work explores filtered-error recursive least squares optimization and self-tuning disturbance feedforward control, with applications to peristaltic pumps and hard-mounted vibration isolators. His research outputs (20 articles from 2014–2024) highlight contributions to both theoretical control frameworks and experimental validation.
No awards or grants are explicitly mentioned in the provided texts. He has not listed advisees or students in the given data. His collaborations span academic and industrial partners, focusing on systems with periodic disturbances and multi-variable control challenges.
