Wael M. Elawady
Papers
11
Total Citations
241
H-Index
6
About
Wael M. Elawady is a control systems researcher whose work centers on the intelligent control of robotic manipulators, with particular expertise in fuzzy logic, sliding mode control, and adaptive control strategies. Over more than a decade of sustained research, he has tackled one of robotics' most enduring challenges: designing robust controllers capable of handling the nonlinearities, uncertainties, and external disturbances inherent in real-world robot manipulators. His most influential contribution, "Adaptive Fuzzy Sliding Mode Control Using Supervisory Fuzzy Control for 3 DOF Planar Robot Manipulators" (2011), has garnered 148 citations, establishing him as a notable voice in hybrid intelligent control design. This work, alongside his early fuzzy PID and quasi-sliding mode frameworks, helped shape practical approaches to precision motion control in industrial robotics. His research trajectory reveals a consistent evolution in methodology — from foundational fuzzy-PID architectures to sophisticated ANFIS-based controllers, second-order sliding mode techniques, and task-space adaptive frameworks — culminating in his 2025 neuro-adaptive PID sliding mode work promoting sustainable automation. With a cumulative citation record exceeding 230 references, Elawady's contributions offer students and practitioners valuable, rigorously tested tools for advancing intelligent, adaptive robotic control systems.
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