Papers

4

Total Citations

15

H-Index

3

About

M.E. El-Hawary is a leading researcher in the fields of **nonlinear tele-robotics**, **fuzzy control systems**, and **electrical machine parameter identification**. His most significant contributions center on advancing the transparency and stability of bilateral teleoperation systems, particularly those operating under challenging conditions such as time delays and unknown environments. El-Hawary pioneered the application of **state convergence architecture** and **Takagi-Sugeno (TS) fuzzy models** to design controllers for complex, multi-master-single-slave robotic configurations. His work on "Transparent fuzzy bilateral control of a nonlinear teleoperation system through state convergence" (5 citations) and "A Time-Delayed Multi-Master-Single-Slave Non-Linear Tele-Robotic System Through State Convergence" (4 citations) provides a robust framework for ensuring position tracking and force reflection in delayed networks. Earlier in his career, he also made notable contributions to power systems engineering, developing a **least error squares (LES) algorithm** for parameter identification of separately excited DC motors (4 citations), a method crucial for precise speed control. With a research portfolio spanning from foundational motor modeling to cutting-edge fuzzy teleoperation, El-Hawary’s work bridges classical electrical engineering and modern robotic control, offering practical solutions for remote manipulation in hazardous or inaccessible environments.

Research Focus

Key Achievements

3
H-Index
4
Papers
15
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Transparent fuzzy bilateral control of a nonlinear teleoperation system through state convergence
5 citations · 2016
📈 Most Prolific Year: 2016 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: University of Lahore, Dalhousie University, Technical University of Nova Scotia

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago