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About

Yutthana Pititheeraphab is a researcher specializing in intelligent control systems, with a primary focus on robotic manipulators and servo motor precision. His work bridges fuzzy logic, expert systems, and optimization algorithms to address real-world control challenges in industrial and biomedical applications. His most cited paper, "Adaptive P Control and Adaptive Fuzzy Logic Controller with Expert System Implementation for Robotic Manipulator Application" (2023, 24 citations), tackles improper control input estimation by integrating expert system logic with adaptive fuzzy controllers. He further advances this line of inquiry with a "Hybrid Fuzzy-Expert System Control" (2025), which dynamically switches between membership functions to enhance decision-making in manipulator control. Pititheeraphab has also conducted a comparative analysis of fuzzy membership functions for step and smooth input tracking in 3-axis robotic manipulators, and developed a PSO-tuned PID with feedforward control to improve the precision of MG996R servo motors—a critical component in biomedical robotics. His work is notable for its practical focus on enhancing accuracy and adaptability in systems that lack inherent feedback, making significant contributions to the fields of automation and intelligent control.