Junqi Yuan

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About

Dr. Junqi Yuan is a researcher whose work bridges bio-inspired engineering and intelligent control systems. His early, highly cited review, "Bio-inspired micro/mini propulsion at air-water interface" (2012, 31 citations), established his foundational expertise in biomimetic locomotion, exploring how natural mechanisms can inspire novel propulsion technologies at fluid interfaces. More recently, Dr. Yuan has advanced the field of nonlinear control theory, as demonstrated in his 2022 paper on "Event-Triggered Neural Network Control for Uncertain Nonlinear Systems Without State Observer." This work presents a robust, approximation-based event-triggered control method for SISO nonlinear continuous-time systems facing unmeasurable states and external disturbances—a significant contribution that reduces computational load by employing just a single neural network. By integrating event-triggered communication with neural network approximation, Dr. Yuan’s approach offers a practical, efficient solution for real-time control applications. His research trajectory, from bio-inspired propulsion to intelligent control, reflects a commitment to solving complex engineering challenges through interdisciplinary innovation, making his work valuable for students and researchers in robotics, control systems, and biomimetics.