Tounes Seghiri
Papers
2
Total Citations
19
H-Index
2
About
Tounes Seghiri is a control systems engineer whose research focuses on advanced adaptive control strategies for industrial robotics, particularly in harsh manufacturing environments. His primary contributions lie in the development of fractional-order adaptive Model Reference Adaptive Control (MRAC) systems designed to overcome the limitations of conventional feedback controllers. Seghiri’s work addresses critical challenges in the steel industry and similar settings, where uncertainties in plant models, nonlinear actuator dynamics, and varying disturbance characteristics render traditional controllers inefficient. His most cited paper (2023, 15 citations) and its earlier version (2022, 4 citations) both propose innovative fractional-order adaptive controllers that achieve high-accuracy position control for industrial robot arms operating under demanding conditions. By integrating fractional calculus with adaptive control theory, Seghiri’s designs offer enhanced robustness and precision, enabling robots to maintain performance despite significant system uncertainties. His research has direct implications for improving automation reliability in heavy industries, where precise robotic manipulation is essential. Seghiri’s work represents a meaningful step toward more resilient and intelligent industrial control systems, bridging theoretical advances in fractional-order control with practical applications in real-world manufacturing.
Research Focus
Key Achievements
Top Papers
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