M. Sami Fadali
Papers
7
Total Citations
55
H-Index
4
About
M. Sami Fadali is a control systems engineer whose research has made meaningful contributions to the fields of robotics, adaptive control, and intelligent systems. Over several decades, his work has consistently addressed a central challenge in modern robotics: designing reliable, high-performance controllers that remain effective in the face of real-world uncertainties such as model inaccuracies, random friction, and complex nonlinear dynamics. Fadali's most impactful contribution — his 2010 paper on adaptive position and trajectory control for autonomous mobile robots, which has garnered 25 citations — demonstrates his ability to blend classical control theory with advanced adaptive techniques, specifically leveraging model reference adaptive control and feedback linearization to handle unpredictable friction in robotic systems. His foundational work in robust pole assignment and computed torque control for robotic manipulators, dating back to 1989, helped establish principled frameworks for manipulator control under parameter uncertainty. Notably, Fadali was an early adopter of neural networks for minimum-time robotic control, recognizing their potential to bypass mathematical modeling limitations as far back as 1990. His broader body of work on stability robustness bounds, eigenstructure assignment, and state-constrained robust control reflects a rigorous, mathematically grounded approach that has influenced both academic research and practical control system design.
Research Focus
Key Achievements
Top Papers
- 1
- 2Robust Pole Assignment for Computed Torque Robotic Manipulators Control13 citations · 1989
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- 4
- 5Robust Control of Robotic Manipulators3 citations · 1989
- 6Robust control system design with state constraints3 citations · 1993
- 7