Xiong Zhang
Papers
1
Total Citations
4
H-Index
1
About
Xiong Zhang is a researcher specializing in advanced control systems for robotic applications, with a particular focus on pneumatic muscle actuators and iterative learning control. His most cited work, "Model-Free Adaptive Iterative Learning Control for A Pneumatic Muscle-Driven Robot" (2019), addresses the fundamental challenge of controlling pneumatic muscles—actuators known for their nonlinear behavior, difficulty in modeling, and need for repeated training. Zhang's major contribution lies in developing a model-free adaptive iterative learning control approach that enables precise trajectory tracking without requiring an accurate mathematical model of the system, effectively overcoming the inherent complexities of pneumatic muscle dynamics. This work has garnered 4 citations, establishing a foundation for further research in soft robotics and adaptive control. Zhang's research bridges the gap between theoretical control methodologies and practical robotic applications, offering solutions for systems where traditional modeling approaches fall short. His work is particularly relevant for researchers exploring bio-inspired robotics, rehabilitation devices, and human-robot interaction systems that rely on compliant, muscle-like actuators.
Research Focus
Key Achievements
Top Papers
- 1