Papers
2
Total Citations
54
H-Index
2
About
Jiaqiang Du is a control systems researcher whose work centers on mobile robotics, advanced control theory, and autonomous navigation. His research focuses on solving trajectory and path tracking challenges for differential-drive wheeled mobile robots — a fundamental problem in robotics that directly impacts real-world autonomous systems. Du's most significant contribution lies in developing hybrid control architectures that combine classical and modern techniques: most notably, his 2022 paper introducing a combined backstepping and fractional-order PID controller for trajectory tracking, which has garnered 50 citations and demonstrated the practical advantages of merging Lyapunov-based backstepping with the flexibility of fractional calculus. This work established a rigorous kinematic and dynamic modeling framework that has become a reference point for researchers tackling similar challenges. His 2021 paper further solidified his commitment to fractional-order PID design for path tracking applications, contributing foundational methodology to the field. Through these efforts, Du has helped advance the understanding of how fractional-order control strategies can enhance precision and robustness in mobile robot navigation, making his work increasingly relevant as autonomous systems continue to grow in complexity and industrial importance.
Research Focus
Key Achievements
Top Papers
- 1
- 2