Bashar Fateh Midhat

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About

Bashar Fateh Midhat is a control systems researcher whose work centers on intelligent stabilization and position control for autonomous robotic platforms. His most influential contribution, "PID and Fuzzy Logic Controller Design for Balancing Robot Stabilization" (2018), tackles the fundamental challenge of maintaining dynamic equilibrium in two-wheeled balancing robots. By deriving a rigorous mathematical model based on the robot’s position and tilt angle, Midhat proposes a fuzzy logic control strategy that outperforms traditional PID approaches in managing nonlinearities and real-time disturbances. This paper has garnered 19 citations, reflecting its practical relevance for researchers and engineers working on self-balancing vehicles, mobile robotics, and humanoid platforms. Midhat’s work bridges classical control theory with soft computing, offering a robust framework for systems where precise mathematical modeling is difficult. His research is particularly valuable for students and practitioners seeking to implement adaptive, rule-based controllers in embedded systems. Through his focus on balancing robot stabilization, Midhat contributes to the broader advancement of autonomous mobility and intelligent control, making his findings a useful reference for both academic study and real-world robotic design.