Xiaofei Zhang

Beijing Institute of Technology

Papers

2

Total Citations

12

H-Index

2

About

Xiaofei Zhang is a control systems researcher focused on advancing adaptive sliding mode control for robotic and discrete-time systems. Their work addresses critical challenges in real-world automation, particularly the degradation of system performance caused by nonlinear disturbances and complex production processes. Zhang’s most cited paper, “Adaptive sliding mode control with information concentration estimator for a robot arm” (2019, 9 citations), introduces an innovative estimator to enhance robustness against unpredictable disturbances, improving the reliability of robotic manipulators. In a complementary study, “An Adaptive Sliding Mode Controller with The Exponential and Power Reaching Law for Discrete Systems” (2018, 3 citations), Zhang combines the strengths of exponential and power reaching laws to accelerate response speed in high-performance servo systems, such as those used in aeronautics and astronautics. This hybrid approach represents a notable contribution to discrete-time control theory, offering faster dynamic quality without sacrificing stability. Though early in their career, Zhang’s work demonstrates a clear trajectory toward practical, high-speed control solutions, with potential applications in advanced manufacturing and aerospace engineering.

Research Focus

Key Achievements

2
H-Index
2
Papers
12
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Adaptive sliding mode control with information concentration estimator for a robot arm
9 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Beijing Institute of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago