Nurul Faqihah Hambali
Papers
1
Total Citations
1
H-Index
1
About
Nurul Faqihah Hambali is a researcher advancing the field of intelligent control systems, with a primary focus on fractional-order PID (FOPID) controller tuning for robotic manipulators. Her most-cited work, "Tuning of FOPID Controller for Robotic Manipulator Using Genetic and Multiple-Objective Genetic Algorithms," published in 2024, introduces a novel optimization framework that leverages genetic algorithms to enhance the precision and robustness of robotic arm control. This contribution addresses critical challenges in automation and robotics, offering a more adaptive and efficient approach to motion control. While her citation count is still growing, the work’s immediate relevance to both control theory and practical robotics underscores its potential. Hambali’s research bridges the gap between classical control methods and modern evolutionary optimization, making her a promising voice in mechatronics and intelligent systems. Her achievements reflect a dedication to solving real-world engineering problems through computational intelligence.
Research Focus
Key Achievements
Top Papers
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