Yuancheng Xiang

China University of Mining and Technology

Papers

Total Citations

H-Index

About

Yuancheng Xiang is a researcher whose work centers on intelligent control systems and autonomous vehicle navigation, with a particular focus on adaptive algorithms for real-world mobility applications. His most notable contribution, "The control of the movement of intelligent car based on self-adaptive non-linear algorithm" (2018), introduces a sophisticated approach to vehicle motion control that leverages non-linear dynamics to improve stability and responsiveness in unpredictable environments. This work, which has garnered 2 citations, lays foundational groundwork for integrating self-adaptive mechanisms into autonomous driving systems—a critical step toward safer and more efficient intelligent transportation. Xiang's research addresses the challenge of enabling vehicles to autonomously adjust their behavior in response to changing conditions, such as road surfaces or obstacles, without requiring constant human intervention. While his citation count reflects the emerging nature of this field, his algorithm offers a practical framework for engineers and researchers developing next-generation autonomous cars. Xiang’s contributions are particularly relevant for students and practitioners exploring the intersection of control theory, robotics, and artificial intelligence, as his work demonstrates how non-linear adaptive methods can enhance the performance of intelligent mobile systems in complex, dynamic settings.