Papers
2
Total Citations
7
H-Index
2
About
Driss Boutat is a leading figure in nonlinear control theory, with a focus on differential flatness, geometric control, and event-triggered strategies for complex dynamical systems. His foundational work on flat normal forms provides elegant geometric conditions and algorithms for transforming nonlinear controllable systems into simpler canonical structures, enabling more straightforward analysis and controller design. This theoretical framework has been influential in advancing the understanding of system invertibility and trajectory planning. More recently, Boutat has extended his expertise to practical applications in robotics. His highly cited 2022 paper on sliding mode event-triggered tracking control for robot manipulators addresses the critical challenge of state constraints. By designing time-varying control gains within a Lyapunov framework, his work ensures robust trajectory tracking while rigorously preventing constraint violations, even under external disturbances. This contribution is pivotal for the safe and efficient operation of autonomous robotic systems. With a career spanning deep theoretical insights and pressing engineering problems, Dr. Boutat’s research continues to shape modern control design, bridging the gap between abstract geometry and real-world implementation.
Research Focus
Key Achievements
Top Papers
- 1
- 2Two flat normal forms for a class of nonlinear dynamical systems3 citations · 2010