Ruiyun Qi
Papers
2
Total Citations
36
H-Index
2
About
Ruiyun Qi is a researcher whose work lies at the intersection of fuzzy logic, adaptive control, and nonlinear systems theory. Her primary contributions focus on developing intelligent control strategies for complex, uncertain systems—particularly those that are discrete-time or multiple-input-multiple-output (MIMO) in nature. In her most-cited work, "Adaptive fuzzy modelling and control for discrete-time nonlinear uncertain systems" (2005, 29 citations), Qi introduced a novel scheme that integrates online Takagi-Sugeno (T-S) fuzzy modelling with model reference adaptive control, enabling real-time adaptation to system uncertainties. This foundational work has been influential in advancing the practical application of fuzzy control to real-world engineering problems. She extended these ideas in a subsequent paper on T-S model-based indirect adaptive control for MIMO uncertain nonlinear systems (2006, 7 citations), further demonstrating the versatility of her approach. Qi’s research is particularly valuable for students and engineers working in robotics, aerospace, and industrial automation, where system dynamics are often nonlinear and poorly understood. Her work continues to inspire new generations of control engineers seeking robust, model-free solutions to challenging control problems.
Research Focus
Key Achievements
Top Papers
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