Yuejun An
Papers
6
Total Citations
33
H-Index
3
About
Yuejun An is a pioneering researcher in the application of chaos theory and intelligent control to underwater robotics, with a particular focus on the stability and optimization of thruster motor systems for deepwater robots. His work addresses a critical challenge in marine robotics: the chaotic oscillations that can undermine the reliability and safety of brushless DC thruster motors operating in extreme deep-sea environments. An’s most influential contribution is the development of fuzzy control methods integrated with time-delayed feedback to suppress chaotic behavior in thruster motors, as detailed in his highly cited 2007 paper (10 citations). He also proposed a globally convergent chaos optimization algorithm for nonlinear motor design (9 citations), significantly improving optimization speed and efficiency. Beyond motor control, An has investigated the complexity of path planning for autonomous mobile robots in dynamic environments, using Lyapunov exponents and power spectra to detect chaos in sensor data. His cumulative work, spanning over 30 citations across key publications, has advanced the theoretical understanding of chaos in electromechanical systems and provided practical solutions for enhancing the stability and performance of deepwater robotic platforms.
Research Focus
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Top Papers
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