Papers
1
Total Citations
30
H-Index
1
About
Yue Wang is a control systems researcher whose work sits at the intersection of intelligent control theory and autonomous aerial robotics. Wang's most recognized contribution involves the development of an optimized nonlinear type-2 fuzzy fractional PID controller with a fractional filter for quadrotor robots — a sophisticated approach that combines the uncertainty-handling power of interval type-2 fuzzy logic with the memory-retaining properties of fractional-order calculus. This hybrid framework addresses one of the persistent challenges in quadrotor control: maintaining robust, precise performance in the face of system nonlinearities, parameter uncertainties, and external disturbances. Crucially, Wang's research bridges the gap between theory and real-world application, validating the proposed controller through both rigorous mathematical analysis and physical experiments, lending credibility to its practical deployment. With 30 citations garnered since its 2024 publication, this work has already attracted notable attention within a competitive field, signaling strong early impact. Wang's research is particularly valuable for students and engineers working in unmanned aerial vehicle (UAV) control, fractional-order systems, and computational intelligence, offering a compelling template for next-generation robust controller design.
Research Focus
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Top Papers
- 1