Sung Jin You
Papers
1
Total Citations
9
H-Index
1
About
Sung Jin You is a researcher in intelligent control systems and mobile robotics, with a focus on adaptive neural network architectures for autonomous navigation. His most-cited work, "Self-Recurrent Wavelet Neural Network Based Direct Adaptive Control for Stable Path Tracking of Mobile Robots" (2004), introduces a novel control framework that combines self-recurrent wavelet neural networks with direct adaptive control to enhance the stability and precision of mobile robot path tracking. This contribution addresses key challenges in real-time trajectory following under dynamic and uncertain environments, offering a robust solution that has garnered 9 citations. You's research bridges theoretical advances in neural network design with practical robotic applications, demonstrating the potential of wavelet-based adaptive systems for improving autonomous vehicle performance. His work is particularly relevant for students and researchers exploring intelligent control, nonlinear system dynamics, and the integration of machine learning into robotics. By pioneering self-recurrent structures in wavelet neural networks, You has laid groundwork for more adaptive and resilient control strategies in mobile robotics.
Research Focus
Key Achievements
Top Papers
- 1