Arezki Fekik
Papers
1
Total Citations
8
H-Index
1
About
Arezki Fekik is a researcher whose work bridges advanced control theory and nonlinear robotic systems. His primary research areas include adaptive control, finite-time stability, and the application of proportional-derivative (PD) strategies to complex robotic dynamics. Fekik’s most notable contribution is his 2026 paper, "Proportional-derivative control for nonlinear robot dynamics using adaptive finite-time approach," which has garnered 8 citations—a strong early indicator of its influence in the field. This work introduces a novel adaptive finite-time framework that enhances the robustness and precision of PD controllers for nonlinear robotic systems, addressing critical challenges in real-time trajectory tracking and disturbance rejection. By integrating adaptive mechanisms with finite-time convergence guarantees, Fekik’s approach offers significant improvements over conventional methods, making it particularly valuable for applications in autonomous robotics and industrial automation. His research is characterized by a focus on practical, implementable solutions that push the boundaries of control engineering. As his citation count grows, Fekik is establishing himself as a promising voice in the development of next-generation control strategies for nonlinear and robotic systems.
Research Focus
Key Achievements
Top Papers
- 1