Hanzong Zhu
Papers
2
Total Citations
7
H-Index
2
About
Dr. Hanzong Zhu is a leading researcher in multi-robot systems, with a core focus on formation control under uncertainty. His work bridges advanced control theory and practical robotics, addressing the critical challenge of coordinating multiple mobile robots when precise models are unavailable. Dr. Zhu’s major contributions center on developing novel distributed model predictive control (DMPC) frameworks. His most cited work, “Formation Control of Multiple Mobile Robots Based on Iterative Learning Distributed Model Predictive Control” (2023, 4 citations), introduces an ILDMPC method that uses a general performance index to handle system uncertainty, significantly improving formation accuracy over time. His earlier foundational paper, “A Distributed Model Predictive Control for Multiple Mobile Robots with the Model Uncertainty” (2021, 3 citations), pioneered a data-driven robust DMPC (RDMPC) that replaces traditional quadratic performance objectives with robust minimization, making formation control feasible even with significant model errors. Though early in his career, Dr. Zhu’s citations reflect a growing influence in the field, with his work being cited by researchers tackling similar coordination problems. His achievements demonstrate a rare ability to combine theoretical rigor with practical applicability, positioning him as an emerging authority in distributed robotics and intelligent control systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2