Ahcene Seboui

University of Skikda

Papers

1

Total Citations

3

H-Index

1

About

Dr. Ahcene Seboui is a researcher specializing in advanced control systems, robotics, and optimization algorithms, with a particular focus on fractional-order control and intelligent tuning methods. His most cited work, "Multi-controller approach with PSO-PI<sup>λ</sup>D<sup>μ</sup> controllers for a robotic wrist" (2017), presents an innovative architecture combining conventional PID controllers with robust Fractional PID (FOPID) controllers. By employing Particle Swarm Optimization (PSO) to optimize controller parameters, Seboui significantly enhanced system robustness and performance. This approach was successfully applied to control the robotic wrist of a Staübli RX-90 manipulator, demonstrating practical relevance in industrial robotics. While his citation count (3) reflects a focused, early-career impact, the work represents a meaningful contribution to the integration of metaheuristic optimization with fractional calculus in robotic control. Seboui’s research bridges theoretical control design and real-world robotic applications, offering a scalable framework for improving precision and stability in automated systems. His work is particularly valuable for students and researchers exploring hybrid control strategies and optimization-driven tuning in mechatronics.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Multi-controller approach with PSO-PI<sup>λ</sup>D<sup>μ</sup>controllers for a robotic wrist
3 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Skikda

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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