Papers
2
Total Citations
38
H-Index
2
About
Haoyi Que is a rising researcher in nonlinear control systems and robotics, whose work bridges theoretical rigor with practical implementation. Their primary research areas include Markov jump systems, fuzzy control, and adaptive observer design for mobile robots. Que’s most notable contribution is the development of an interval type-2 polynomial fuzzy approach to address asynchronous control in nonlinear Markov jump systems with parameter uncertainties—a critical challenge in systems where switching between modes is unpredictable. This work, published in 2023, has already garnered 20 citations, reflecting its timely impact on robust control theory. Additionally, Que introduced a globally convergent adaptive velocity observer for nonholonomic mobile robots, leveraging immersion and invariance techniques to estimate velocities and external disturbances simultaneously. This 2022 paper, with 18 citations, addresses real-world challenges in robotics, such as unknown terrain or payload variations. By tackling both theoretical uncertainties and practical disturbances, Que’s research offers elegant solutions for autonomous systems operating in dynamic environments. Their work is particularly valuable for students and engineers seeking to advance control strategies in robotics and nonlinear systems.
Research Focus
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Top Papers
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