Xiaoyan Fang

Southwest University, Shanghai Institute of Technology

Papers

Total Citations

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About

Xiaoyan Fang is a researcher whose work lies at the intersection of intelligent control systems, robotics, and multi-sensor information fusion. Her research focuses on developing advanced control architectures for autonomous mobile robots, with particular emphasis on combining neural network approaches with traditional control theory. Fang's most influential work introduces a PID controller based on a memristive CMAC (Cerebellar Model Articulation Controller) network, a compound control system that achieves real-time nonlinear trajectory tracking with superior approximation effects—a critical capability for precise robot control. This paper has garnered 24 citations, establishing a foundation for neuromorphic control systems. More recently, Fang has contributed to the rapidly evolving field of multi-sensor information fusion and intelligent optimization algorithms for mobile robots, a paper with 19 citations that synthesizes advances across computer artificial intelligence, robotics, control theory, and electronic technology. Her work addresses the fundamental challenge of enabling autonomous intelligent systems to perceive and navigate complex environments. Fang's research is particularly relevant for students and engineers working on next-generation autonomous systems, offering practical frameworks for integrating neural computation with classical control methodologies to achieve more adaptive and robust robot behavior.