Yang Feng

Papers

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About

Yang Feng’s research centers on control systems and robotics, with a particular focus on the stabilization and steering of self-balancing robots. His most-cited work, "The fuzzy controller designing of the self-balancing robot" (2011), addresses the fundamental challenge of controlling unsteady, nonlinear, and strongly coupled robotic systems. By applying Newtonian mechanics to develop mathematical models for steering movements, Feng integrated fuzzy logic control methods to enhance stability and performance. His approach, validated through Matlab simulations, has garnered 7 citations, reflecting its practical relevance in robotics and control engineering. This contribution is notable for bridging theoretical control design with real-world robotic applications, offering a framework that continues to inform research in autonomous systems and dynamic stabilization. Feng’s work underscores the value of fuzzy control in managing complex, unpredictable behaviors in robotics, making it a useful reference for students and researchers exploring nonlinear control strategies.