Jixuan Han
Papers
1
Total Citations
33
H-Index
1
About
Jixuan Han is a leading researcher in the field of underwater robotics and autonomous systems, with a primary focus on advanced motion control for unmanned underwater vehicles (UUVs). His most-cited work, "Disturbance Observer-Based Model Predictive Control for an Unmanned Underwater Vehicle" (2024, 33 citations), tackles the critical challenge of stabilizing UUV motion under nonlinear dynamics, parametric uncertainties, system constraints, and time-varying external disturbances. Han’s key contribution lies in developing a disturbance observer-based control scheme that integrates model predictive control to enhance robustness and precision in real-world marine environments. This work has been widely recognized for its practical impact on improving the autonomy and reliability of underwater vehicles, with citations reflecting its influence on subsequent control system designs. Han’s research bridges theoretical control engineering and applied robotics, offering solutions that are both innovative and implementable. His achievements underscore a commitment to advancing intelligent systems capable of operating in harsh, unpredictable conditions, making him a notable figure in the growing field of autonomous marine technology.
Research Focus
Key Achievements
Top Papers
- 1