Israa Mohammed

Papers

Total Citations

H-Index

About

Israa Mohammed is a control systems researcher whose work focuses on the stabilization and intelligent control of autonomous robotic platforms. Her most cited contribution, "PID and Fuzzy Logic Controller Design for Balancing Robot Stabilization" (2018), addresses the fundamental challenge of maintaining equilibrium in two-wheeled balancing robots. In this influential work, Mohammed derives a rigorous mathematical model based on the robot’s position and tilt angle, then proposes a fuzzy logic control strategy to achieve robust stabilization. With 19 citations, this paper has become a reference point for researchers exploring non-linear control techniques in mobile robotics. Mohammed’s work bridges classical PID methods with modern soft computing approaches, offering practical solutions for real-time balancing and position control. Her contributions are particularly valuable for students and engineers developing self-balancing vehicles, personal transporters, and educational robotics platforms. By demonstrating how fuzzy logic can outperform conventional controllers in handling system uncertainties, Mohammed has helped advance the field of intelligent autonomous systems.