Papers

2

Total Citations

18

H-Index

2

About

Cui Wei is a control theorist whose research focuses on the stabilization of nonlinear and underactuated systems, with a particular emphasis on robust control and advanced algebraic methods. His major contributions include the development of compensation-signal-driven control strategies for nonlinear uncertain systems, a framework that addresses critical challenges in maintaining stability under unknown disturbances. This work, published in 2020, has garnered 16 citations, reflecting its growing influence in the field of nonlinear control. In a more recent study from 2023, Cui Wei tackled the challenging stabilization problem of the Pendubot—a classic underactuated robotic benchmark—using a polynomial matrix approach. By leveraging computational algorithms rooted in algebraic control theory, he proposed an output-feedback-based internally stabilizing controller, demonstrating the power of polynomial methods in real-world robotic applications. His work bridges theoretical rigor with practical implementation, offering new tools for engineers and researchers working on underactuated systems. With a focus on both foundational theory and applied robotics, Cui Wei’s research continues to shape modern control design for complex, uncertain environments.

Research Focus

Key Achievements

2
H-Index
2
Papers
18
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Compensation-signal-driven control for a class of nonlinear uncertain systems
16 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Northeastern University, Nanjing Tech University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago