Hongmin Yang

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About

Hongmin Yang is a pioneering researcher in nonlinear dynamics and intelligent control systems, with a particular focus on chaos control in underwater robotic propulsion. His most-cited work, "Controlling Chaos for BLDC Thruster Motor in Deepwater Robot Based on Fuzzy Control" (2007, 10 citations), addresses a critical challenge in deep-sea exploration: stabilizing chaotic oscillations in brushless DC thruster motors. Yang's key contribution lies in developing an innovative fuzzy control approach that solves the difficult problem of selecting optimal time-delayed parameters in chaos control—a persistent obstacle in the field. By employing quadrature-axis stator voltage as the manipulated variable and integrating fuzzy logic with time-delayed feedback, he created a robust framework for suppressing chaotic behavior in real-time. This work has direct implications for improving the reliability and precision of deepwater robots operating in extreme environments. Yang's research bridges theoretical nonlinear dynamics with practical engineering applications, offering valuable insights for researchers working on chaos control, intelligent systems, and marine robotics. His methodology continues to influence subsequent studies on adaptive control strategies for underwater vehicles operating under unpredictable conditions.