About

Abdelhamid Tayebi is a prominent control systems researcher whose work spans autonomous aerial vehicles, iterative learning control, and networked multi-agent systems. He is perhaps best known for his foundational contributions to quadrotor control, with his 2006 paper "Attitude Stabilization of a VTOL Quadrotor Aircraft" accumulating over 1,000 citations — a landmark achievement that helped establish the theoretical groundwork for modern drone control. By developing quaternion-based feedback schemes that elegantly compensate for Coriolis and gyroscopic torques, Tayebi provided the robotics and aerospace communities with rigorous, practically implementable stabilization strategies during a period when quadrotor research was rapidly accelerating. Equally significant is his sustained contribution to iterative learning control (ILC) for robot manipulators, where his adaptive and robust ILC frameworks — backed by experimental validation — have collectively garnered hundreds of citations and influenced how repetitive robotic tasks are approached in both theory and practice. His later research extended into networked systems, addressing the challenging problem of synchronizing Euler-Lagrange systems under unknown communication delays and input constraints. Across these interconnected domains, Tayebi has built a body of work that is both mathematically rigorous and deeply relevant to real-world autonomous and robotic systems.

Research Focus

Key Achievements

17
H-Index
38
Papers
2,567
Total Citations
68
Avg Citations/Paper
🏆 Most Cited Paper
Attitude stabilization of a VTOL quadrotor aircraft
1,004 citations · 2006
📈 Most Prolific Year: 2002 (8 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: Lakehead University, Western University, Université de Picardie Jules Verne, Laboratoire d'Informatique et d'Automatique pour les Systèmes

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago