Liuliu Zhang
Papers
1
Total Citations
14
H-Index
1
About
Liuliu Zhang is a leading researcher in advanced control systems for robotic exoskeletons, with a primary focus on model-free adaptive control and sliding mode control strategies. Their most influential work, "Model-free adaptive iterative sliding mode control for a robotic exoskeleton trajectory tracking system" (2020, 14 citations), addresses the critical challenge of precise trajectory tracking in exoskeleton systems without requiring an accurate dynamical model. Zhang's key contribution lies in developing a novel control approach that converts the complex nonlinear dynamics of an exoskeleton into a linear discrete model using compact form dynamic linearisation (CFDL), then applies iterative sliding mode control to ensure robust tracking performance. This work is particularly significant for rehabilitation robotics and assistive technologies, where system uncertainties and human-robot interaction make traditional model-based control impractical. Zhang's research bridges the gap between theoretical control engineering and practical robotic applications, offering a computationally efficient and robust solution for real-time exoskeleton control. With 14 citations, this paper has established Zhang as an emerging voice in adaptive control for wearable robotics, laying groundwork for future developments in human-robot collaboration and rehabilitation engineering.
Research Focus
Key Achievements
Top Papers
- 1