Papers
7
Total Citations
57
H-Index
5
About
Hatem Tlijani is a robotics and control systems researcher whose work centers on the modeling, simulation, and advanced control of robot manipulators — encompassing both rigid and flexible systems. His research addresses one of the field's most persistent challenges: achieving high-precision trajectory tracking in the presence of uncertainties, external disturbances, and unknown loads. Tlijani's most impactful contribution is his development of optimized sliding mode control strategies, most notably integrating the Cuckoo Search Algorithm for parameter tuning and Wavelet Neural Networks within Non-Singular Fast Terminal Sliding Mode frameworks — approaches that have collectively garnered over 34 citations. These methods significantly enhance robustness and accuracy in multi-degree-of-freedom manipulator control. His earlier foundational work explored dynamic modeling of rigid-flexible manipulators using Euler-Lagrange and finite element formulations, alongside Linear Parameter Varying approaches for redundant manipulators, establishing a rigorous analytical base for his later control innovations. Tlijani has also contributed novel smooth motion profile techniques for trajectory planning, improving both stability and practical applicability of flexible manipulator systems. His comparative studies between ultra-local model control and auto-tuning PID strategies further demonstrate his commitment to bridging theoretical rigor with real-world implementation, making his work a valuable reference for researchers advancing intelligent robotic control systems.
Research Focus
Key Achievements
Top Papers
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- 3Smooth motion profile for trajectory planning of a flexible manipulator6 citations · 2018
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