Papers
5
Total Citations
46
H-Index
4
About
Samir Ladaci is a leading researcher in the intersection of fractional calculus and advanced adaptive control systems, with a primary focus on robotic manipulators. His major contributions lie in designing robust fractional-order model reference adaptive controllers (FMRAC) that overcome the limitations of conventional feedback systems in harsh industrial environments. Ladaci’s work addresses critical challenges in high-accuracy position control, particularly for SCARA robots and single-link flexible arms, where plant model uncertainties and nonlinear actuators degrade performance. His most cited papers, including those on fractional order adaptive MRAC for industrial robot arms (15 citations) and SCARA trajectory tracking (15 citations), demonstrate the effectiveness of fractional calculus in enhancing system robustness and tracking precision. Notably, his 2024 study on robust fractional-order adaptive control for flexible robot arms (7 citations) tackles the complex dynamics of structural flexibility, a significant hurdle in modern robotics. With cumulative citations exceeding 40 across his top works, Ladaci’s research is pivotal for advancing automation in demanding sectors like steel manufacturing, offering innovative solutions that blend theoretical rigor with practical applicability.
Research Focus
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