Tandong Li

Guizhou University

Papers

3

Total Citations

43

H-Index

3

About

Tandong Li is a rising researcher in the field of advanced robotics control, with a focused expertise in the adaptive control of flexible-joint robotic systems. Li’s work is distinguished by a deep engagement with fixed-time control theory, addressing critical challenges such as actuator failures, input saturation, and output constraints. A key contribution is the development of neural-based adaptive fixed-time prescribed performance control schemes, which ensure both rapid convergence and high-precision tracking even under system uncertainties. This work, cited 24 times, demonstrates a practical approach to enhancing robot safety and reliability. Li has further advanced the field by integrating dynamic event-triggered mechanisms to reduce communication burdens in time-delayed systems, and by pioneering fixed-time observer-based control for the emerging domain of aerial flexible-joint robots. With a growing citation record, Li’s research is pivotal for the next generation of resilient, high-performance robotic manipulators, offering robust solutions that are both theoretically rigorous and applicable to real-world automation and aerial manipulation tasks.

Research Focus

Key Achievements

3
H-Index
3
Papers
43
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Neural-based adaptive fixed-time prescribed performance control for the flexible-joint robot with actuator failures
24 citations · 2023
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Guizhou University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago