Xianliang Chen

The University of Sydney

Papers

2

Total Citations

15

H-Index

2

About

Xianliang Chen is a rising authority in the control of space robotic manipulators, focusing on the critical challenge of ensuring safety and precision in the harsh environment of orbit. His research centers on developing advanced nonlinear control strategies—specifically fixed-time and inverse optimal control—to manage the complex dynamics of free-flying space robots. Chen’s major contribution lies in pioneering control frameworks that guarantee system states (like joint rotations and base attitude) remain within strict safety constraints without relying on conventional barrier-Lyapunov functions, a significant simplification for real-time implementation. His 2023 paper on a barrier-Lyapunov-function-term-free approach for fixed-time control with full state constraints has garnered 8 citations, establishing a new paradigm for workspace safety. Building on this, his 2025 work introduces a non-overshooting, inverse optimal method for output-constrained systems, earning 7 citations and demonstrating his ability to push the boundaries of both theoretical rigor and practical applicability. Chen’s work is essential for the next generation of autonomous on-orbit servicing and debris removal missions, where precise, safe, and predictable manipulator motion is non-negotiable.

Research Focus

Key Achievements

2
H-Index
2
Papers
15
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Fixed time control of free-flying space robotic manipulator with full state constraints: a barrier-Lyapunov-function term free approach
8 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: The University of Sydney

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago