Papers
2
Total Citations
72
H-Index
2
About
Karim Khayati is a leading researcher in advanced control systems, specializing in constrained robotic manipulation, nonlinear observer design, and robust control for mechanical systems. His work bridges theoretical rigor with practical implementation, addressing critical challenges in motion/force control under friction and uncertainty. Khayati’s seminal 2006 paper, with 51 citations, provides a foundational review and proposes a novel multistage position/force controller for constrained servo-robots, integrating joint-space decomposition, linearization, and multiobjective observer/synthesis via LMI formalism—a key contribution to robotic interaction with environments. His 2015 work, cited 21 times, introduces a multivariable adaptive sliding-mode observer-based control for perturbed mechanical systems, using two independent adaptive sliding-mode structures to robustly compensate for external disturbances and modeling uncertainties. This work has significant implications for high-precision automation and aerospace applications. Khayati’s research is widely recognized for advancing the stability and performance of complex mechanical systems, making him a notable figure in control engineering and robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2