Hongyu Shi

Nanjing University of Science and Technology

Papers

Total Citations

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About

Hongyu Shi is a control systems researcher whose work focuses on advanced nonlinear control strategies for robotic manipulators and uncertain dynamic systems. His most notable contribution is the development of a fuzzy moving fast terminal sliding mode control approach, which addresses critical challenges in tracking performance for systems facing uncertainties and external disturbances. By integrating fuzzy logic tuning with nonsingular terminal sliding mode techniques, Shi’s methodology enhances robustness and convergence speed while avoiding singularities—a persistent issue in conventional sliding mode control. His 2012 paper on this topic, which has garnered over 2 citations, rigorously establishes controller stability through Lyapunov theory, demonstrating both theoretical depth and practical applicability. This work contributes to the broader fields of intelligent control and mechatronics, offering a framework that balances precision, adaptability, and reliability. Shi’s research is particularly relevant for students and engineers working on robotic systems, autonomous vehicles, or any application requiring high-performance motion control under uncertain conditions. His approach exemplifies how combining fuzzy systems with sliding mode control can yield innovative solutions for real-world nonlinear dynamics.