Feilong Tang
Papers
1
Total Citations
3
H-Index
1
About
Feilong Tang is a researcher specializing in the control and dynamics of cable-driven parallel robots (CDPRs), with a focus on advanced sliding mode control strategies. Their most-cited work, "Hybrid Integral Sliding Mode Tracking Control of Cable-Driven Parallel Robots" (2024), introduces a novel hybrid integral sliding mode approach that enhances trajectory tracking accuracy and robustness against uncertainties in CDPR systems. This contribution addresses critical challenges in precision control for applications such as industrial automation, rehabilitation robotics, and large-scale manipulation. While their citation count is currently modest (3 citations for this paper), the work represents a foundational step in improving the reliability and performance of cable-driven mechanisms. Tang’s research bridges theoretical control design with practical implementation, offering insights into nonlinear dynamics and real-time adaptation. Their achievements highlight a promising trajectory in robotics, with potential for significant impact as the field advances toward more complex, real-world deployments.
Research Focus
Key Achievements
Top Papers
- 1