Dongshun Zhang

China University of Mining and Technology

Papers

Total Citations

H-Index

About

Dongshun Zhang is a researcher focused on intelligent control systems and autonomous vehicle navigation, with a particular emphasis on adaptive algorithms for real-world mobility applications. His most-cited work, "The control of the movement of intelligent car based on self-adaptive non-linear algorithm" (2018), introduces a novel approach to vehicle motion control that leverages self-adaptive non-linear algorithms to enhance stability and responsiveness in dynamic environments. This contribution addresses critical challenges in autonomous driving, such as handling unpredictable road conditions and sensor noise, by enabling vehicles to adjust their control parameters in real time. While his citation count remains modest, the work demonstrates a foundational understanding of complex control theory and its practical deployment. Zhang’s research bridges the gap between theoretical algorithm design and applied robotics, offering insights that could inform future developments in intelligent transportation systems. His focus on adaptability and non-linear dynamics positions him as a contributor to the growing field of autonomous vehicle technology, where robustness and real-time decision-making are paramount.