Yuta Tsuge
Papers
1
Total Citations
2
H-Index
1
About
Yuta Tsuge is a researcher whose work lies at the intersection of control systems engineering and automotive safety, with a particular focus on steering support technologies. His most cited study, "Feedback control for steering support system based on flatness and particle swarm optimization" (2016), introduces a novel feedback control method designed to enhance path tracking stability under steering angle constraints. By leveraging flatness-based control and particle swarm optimization, Tsuge’s approach aims to make driving safer and more comfortable, directly addressing the challenge of maintaining system stability while respecting physical limitations. Although his citation count is modest—with his top paper garnering 2 citations—the practical implications of his work are significant for the development of advanced driver-assistance systems (ADAS). His contributions highlight a commitment to bridging theoretical control methods with real-world vehicular applications, offering a foundation for future innovations in autonomous and semi-autonomous driving. For students and researchers in control engineering or automotive technology, Tsuge’s work serves as a focused example of how optimization algorithms can be applied to improve human-machine interaction in critical safety systems.
Research Focus
Key Achievements
Top Papers
- 1