Qingbo He

Papers

Total Citations

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About

Qingbo He is a control systems researcher whose work focuses on the nonlinear dynamics and intelligent control of autonomous underwater vehicles (AUVs). His primary research areas include predictive control, fuzzy logic systems, and PID control strategies tailored for complex marine environments. He is best known for his 2014 paper on a predictive fuzzy PID control method for underwater vehicles, which addresses the significant challenges of controlling AUVs in shallow water with surge disturbances. This work proposes a generalized predictive control (GPC) framework that integrates fuzzy logic to handle the system’s nonlinear, large-delay, and time-varying characteristics. While his most-cited paper has garnered 2 citations, it represents a foundational contribution to the field of underwater robotics, offering a practical solution for improving AUV stability and maneuverability under harsh conditions. He’s research is particularly notable for its direct application to real-world marine operations, where robust control is critical for tasks such as exploration, surveillance, and environmental monitoring. His work continues to influence the development of adaptive control systems for autonomous platforms operating in unpredictable aquatic environments.