Masoud Mokhtar
Papers
2
Total Citations
35
H-Index
2
About
Masoud Mokhtar is a control systems engineer whose research centers on advanced nonlinear control strategies for robotic manipulators. His most cited work, "Design a Novel SISO Off-line Tuning of Modified PID Fuzzy Sliding Mode Controller" (2014, 22 citations), introduces a hybrid approach that combines the robustness of sliding mode control with the adaptability of fuzzy logic, specifically tuned offline for industrial robotic arms. This work addresses the critical need for controllers that perform reliably under varying operating conditions. In his second most cited paper, "Design Minimum Rule-Base Fuzzy Inference Nonlinear Controller for Second Order Nonlinear System" (2014, 13 citations), Mokhtar further advances the field by proposing a computationally efficient, minimum-rule fuzzy PID controller for continuum robots. A key contribution is the mathematical proof of closed-loop stability using Lyapunov methods, ensuring that his simplified controller is not only practical but theoretically sound. By demonstrating that classical computed torque control can be enhanced with fuzzy logic, Mokhtar’s research bridges the gap between theoretical robustness and real-world implementation, making his work valuable for students and engineers developing next-generation robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2