Papers
3
Total Citations
25
H-Index
2
About
Luc Dugard is a leading figure in nonlinear control theory, with a particular focus on robust and adaptive control of robotic systems. His research centers on the development of advanced sliding mode techniques, where he has made significant contributions by integrating adaptive gain mechanisms and smooth sliding observers. This work directly addresses the critical challenge of chattering—a high-frequency oscillation that degrades performance in traditional sliding mode control—while maintaining robustness against uncertain parameters and unmodeled dynamics. His most cited paper (2004, 20 citations) introduces an adaptive gain smooth sliding controller for uncertain nonlinear systems, with a key application to flexible joint robots, demonstrating a practical solution for complex, real-world systems. Dugard’s approach, which combines parameter identification with observer-controller structures, has been further explored in subsequent works (2003, 2005), solidifying his reputation for creating theoretically rigorous yet implementable control laws. By enabling more precise and reliable control of robot manipulators, his work has had a lasting impact on the fields of automation and mechatronics, providing foundational tools for researchers and engineers tackling nonlinear system control.
Research Focus
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