F. Thevenoux
Papers
1
Total Citations
11
H-Index
1
About
F. Thevenoux is a researcher whose work centers on the robust identification and control of robotic systems, with a particular emphasis on advanced sliding mode techniques. His major contribution lies in developing a dynamic identification method for robot manipulators that leverages an adaptive higher-order sliding modes differentiator. This approach provides a robust solution for estimating system states, even in the presence of uncertainties and disturbances. Notably, his most-cited paper (2010, 11 citations) offers a rigorous theoretical proof of the differentiator’s convergence, complemented by a frequency analysis that validates its practical effectiveness. Thevenoux’s work bridges the gap between theoretical robustness and real-world robotic applications, offering a reliable framework for state estimation that enhances manipulator performance. His contributions are particularly valuable for researchers and students working on adaptive control, nonlinear dynamics, and precision robotics, where accurate state identification is critical for safe and efficient operation.
Research Focus
Key Achievements
Top Papers
- 1