Papers
2
Total Citations
10
H-Index
2
About
Hongliu Du’s research centers on the robust adaptive control of nonlinear systems, with a particular focus on compensating for uncertainties in real time. In his foundational 1998 work, “Learning control design for a class of nonlinear systems,” Du introduced a novel approach that integrates constructive Gaussian networks—requiring no prior training—directly into the control law. This method allows the system to adapt online while maintaining stability, a significant departure from traditional model-based techniques. He extended this framework in “Robust Adaptive Compensation for a Class of Nonlinear Systems,” where he proposed a design that ensures robustness against unmodeled dynamics and disturbances. Though his citation counts (8 and 2 respectively) reflect a focused, specialized audience, Du’s contributions are notable for their theoretical elegance and practical potential in fields like robotics and aerospace. His work stands as a bridge between adaptive control theory and neural-network-based learning, offering a principled path for handling complex, uncertain environments.
Research Focus
Key Achievements
Top Papers
- 1Learning control design for a class of nonlinear systems8 citations · 1998
- 2Robust Adaptive Compensation for a Class of Nonlinear Systems2 citations · 1998