Shunzhi Zhang
Papers
2
Total Citations
3
H-Index
1
About
Shunzhi Zhang is an emerging researcher in robotics and control systems, with a focus on the modeling and predictive control of novel mechanical platforms. His work centers on the development of advanced control strategies for complex, nonlinear systems, particularly spherical robots and hybrid fuzzy systems. Zhang’s most cited paper, “A Dynamic-Model-Based Predictive Controller for a Novel Pendulum-Driven Spherical Robot” (2022, 2 citations), introduces a control framework for a spherical robot designed for hazardous environments, such as planetary or cave exploration. This work highlights his contribution to enabling resilient, disturbance-recovering robotic platforms. In a more recent study, “Switched Data-Driven Model Predictive Control for a Class of Unknown Hybrid Fuzzy Systems” (2025, 1 citation), Zhang tackles the challenge of controlling hybrid nonlinear systems with modal dwell time constraints, using T-S fuzzy approximations to handle bounded uncertainties. Though early in his career, Zhang’s research bridges theoretical control advances with practical robotic applications, demonstrating potential for significant impact in autonomous exploration and adaptive systems.
Research Focus
Key Achievements
Top Papers
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- 2