Rafidah Ngadengon

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About

Rafidah Ngadengon is a control systems engineer specializing in advanced nonlinear and intelligent control strategies for robotic systems. Her research focuses on trajectory tracking, motion compensation, and robust control in challenging environments, with key contributions to direct drive robot arms, autonomous underwater vehicles (AUVs), and medical robotics. Her most cited work, "Genetic algorithm optimized integral sliding mode control of a direct drive robot arm" (2012, 6 citations), addresses the fundamental challenge of achieving high-accuracy trajectory tracking despite nonlinearities and input couplings, proposing an optimized sliding mode approach to overcome modelling difficulties. She extended discrete-time terminal sliding mode control to AUVs (2021, 3 citations), tackling unpredictable ocean behavior for underwater exploration. In medical robotics, her work on "Active Head Motion Compensation of TMS Robotic System Using Neuro-Fuzzy Estimation" (2016, 3 citations) enhances precision in transcranial magnetic stimulation by compensating for patient head movement. Ngadengon’s research bridges theoretical control design with practical robotic applications, demonstrating impact through her innovative use of genetic algorithms, neuro-fuzzy estimation, and sliding mode techniques to solve real-world control problems in robotics and biomedical engineering.