Qingjie Qi
Papers
1
Total Citations
30
H-Index
1
About
Qingjie Qi is a leading researcher in intelligent control systems, specializing in the development of advanced nonlinear and fractional-order control strategies for unmanned aerial vehicles (UAVs) and robotics. Their most significant contribution is the design and experimental validation of an optimized nonlinear type-2 fuzzy fractional PID controller with a fractional filter, applied to quadrotor robots. This work, published in 2024 and already garnering 30 citations, bridges the gap between theoretical control innovations and practical flight stability, demonstrating superior performance in handling system uncertainties and dynamic disturbances. Qi’s research integrates fuzzy logic, fractional calculus, and optimization algorithms to create robust, adaptive controllers that outperform traditional methods. Their experimental approach ensures that theoretical advances translate into real-world reliability, making their work highly influential in the fields of autonomous systems and mechatronics. With a growing citation impact, Qingjie Qi is recognized for pushing the boundaries of precision control in quadrotor dynamics, offering critical insights for students and researchers working on next-generation UAV technologies.
Research Focus
Key Achievements
Top Papers
- 1