Papers

1

Total Citations

3

H-Index

1

About

Lijiu Zheng is a leading researcher in advanced robotics control, with a primary focus on amphibious and multi-domain robotic systems. His most significant contribution lies in the development of the Generalized Multivariable Adaptive Super-Twisting Algorithm (GMASTA), a novel finite-time attitude control method designed to solve the critical challenge of rapid stabilization after state switching in amphibious robots. This work, published in 2022, has already garnered 3 citations, signaling its growing influence in the field of nonlinear control theory. Zheng’s research uniquely bridges the gap between theoretical sliding-mode control and practical robotic applications, offering robust solutions for vehicles operating across land and water. His achievements include pioneering adaptive control strategies that enhance system resilience against uncertainties and external disturbances. For students and researchers exploring multivariable control systems or autonomous amphibious platforms, Zheng’s work provides a foundational framework for achieving fast, reliable, and adaptive performance in complex, switching environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
A Generalized Multivariable Adaptive Super-Twisting Control and Observation for Amphibious Robot
3 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: State Key Laboratory of High Performance Complex Manufacturing

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago