M. Elleuch

Digital Research Centre of Sfax

Papers

1

Total Citations

10

H-Index

1

About

M. Elleuch is a leading researcher in advanced control systems, specializing in adaptive and fractional-order control with applications to complex robotic systems. Their most cited work introduces a novel L1 adaptive fractional control framework, optimized through genetic algorithms, specifically designed for polyarticulated robotic manipulators. This contribution addresses critical challenges in real-time trajectory tracking and robustness under uncertainty, achieving 10 citations since 2021. By integrating fractional calculus with adaptive control theory, Elleuch has advanced the precision and stability of multi-joint robotic systems, offering a powerful alternative to conventional integer-order controllers. Their work demonstrates a unique synthesis of computational intelligence and control engineering, with implications for industrial automation, rehabilitation robotics, and autonomous systems. Elleuch’s research is distinguished by its practical orientation, combining rigorous theoretical development with validated simulations on polyarticulated platforms. As a rising voice in the field, their contributions are shaping next-generation adaptive control strategies that are both mathematically elegant and deployable in real-world robotic applications.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
<a:math xmlns:a="http://www.w3.org/1998/Math/MathML" id="M1"> <a:msub> <a:mrow> <a:mi>L</a:mi> </a:mrow> <a:mrow> <a:mn>1</a:mn> </a:mrow> </a:msub> </a:math> Adaptive Fractional Control Optimized by Genetic Algorithms with Application to Polyarticulated Robotic Systems
10 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Digital Research Centre of Sfax

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago