Yassine Soukkou
University of Jijel, Research Center in Industrial Technologies
Papers
2
Total Citations
19
H-Index
2
About
Yassine Soukkou is a control systems researcher whose work focuses on adaptive and nonlinear control strategies for robotic systems. His primary research areas include adaptive backstepping control, parameter estimation, and the application of robust control techniques to flexible-joint robots. Soukkou’s major contributions lie in developing novel adaptation schemes that combine direct and indirect methods to improve tracking performance and system stability. In his most-cited paper (2015, 13 citations), he introduced a tuning functions–based adaptive backstepping controller for single-link flexible-joint robots, where parameter estimation is driven by a weighted combination of tracking and identification errors—an approach that enhances both accuracy and robustness. He further extended this work in 2016 (6 citations) by incorporating σ-modification adaptation, addressing parameter drift and improving convergence. Though his citation counts are modest, Soukkou’s work represents a meaningful step forward in adaptive control theory, particularly for underactuated and flexible robotic systems. His research is valuable for students and engineers seeking to understand how combined adaptation strategies can overcome limitations of traditional backstepping methods in real-world robotic applications.
Research Focus
Key Achievements
Top Papers
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- 2