Papers
1
Total Citations
13
H-Index
1
About
Han Han is a researcher specializing in intelligent vehicle control systems, with a focus on trajectory planning, collision avoidance, and vehicle dynamics. His most-cited work, "Anti-collision Trajectory Planning and Tracking Control based on MPC and Fuzzy PID Algorithm" (2020, 13 citations), demonstrates a novel integration of model predictive control (MPC) with fuzzy PID algorithms to enhance vehicle safety and stability. This contribution addresses critical challenges in autonomous driving, such as real-time path generation and robust tracking under uncertain conditions. Han’s research bridges theoretical control methods with practical applications in road safety, adaptive steering, and mobile robotics. His work has been recognized for advancing the reliability of anti-collision systems, making it a valuable reference for engineers and researchers in intelligent transportation. By combining predictive control with adaptive algorithms, Han Han continues to influence the development of safer, more responsive autonomous vehicles.
Research Focus
Key Achievements
Top Papers
- 1