Papers

5

Total Citations

24

H-Index

3

About

Mohammad Al Saaideh is a researcher specializing in advanced control systems for robotic and mechatronic applications, with a focus on nonlinear dynamics, disturbance rejection, and precision motion at multiple scales. His work addresses fundamental challenges in robotics, including robust control of serial manipulators under unknown nonlinearities and external disturbances, as demonstrated in his most-cited paper (12 citations) on robust output feedback control. He has also made contributions to cooperative adaptive cruise control (CACC) for smart transportation, tackling communication time delays that affect system performance. Al Saaideh’s research extends to micro- and nano-scale systems, where he has developed inverse hysteresis control for piezoelectric stick-slip actuators, enabling multi-scale displacements from millimeters to nanometers—critical for nano-robotic tasks. His recent work includes model-free control for industrial long-stroke motion systems and output feedback control for variable-loaded manipulators with saturated actuator dynamics. With a growing citation record and publications spanning 2019 to 2024, Al Saaideh is establishing himself as a versatile control theorist and practitioner, bridging the gap between theoretical robustness and real-world robotic applications.

Research Focus

Key Achievements

3
H-Index
5
Papers
24
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Robust Output Feedback controller for a Serial Robotic Manipulator with Unknown Nonlinearities and External Disturbances
12 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Memorial University of Newfoundland, Institut Systèmes Intelligents et de Robotique

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago