About

Yang Shi is a prominent researcher whose work spans marine mechatronic systems, autonomous robotics, multi-agent systems, and advanced control theory. His 2017 survey on marine mechatronic systems, now amassing nearly 300 citations, established him as a leading voice in naval control engineering, systematically synthesizing control strategies for surface vessels and underwater robotic vehicles. Complementing this, his highly cited work on integral sliding mode control for quadrotors (209 citations) demonstrated practical breakthroughs in robust flight control under real-world uncertainties, with direct applications to heterogeneous multi-agent coordination. Shi has made significant strides in model predictive control, authoring an influential 2021 tutorial framework for autonomous intelligent mechatronic systems, and more recently advancing policy learning techniques for nonlinear MPC applied to unmanned surface vehicles. His contributions to cooperative control are equally notable, addressing consensus problems in Euler–Lagrange systems, mobile robot networks, and heterogeneous multi-agent platforms through event-triggered and distributed LQR strategies. His research consistently bridges rigorous theory with experimental validation, reflecting a commitment to deployable solutions. With over 1,250 combined citations across his most recognized publications alone, Shi's interdisciplinary impact on intelligent autonomous systems and control engineering continues to grow substantially.

Research Focus

Key Achievements

20
H-Index
29
Papers
1,535
Total Citations
53
Avg Citations/Paper
🏆 Most Cited Paper
Advanced Control in Marine Mechatronic Systems: A Survey
297 citations · 2017
📈 Most Prolific Year: 2019 (6 Papers)
🤝 Key Collaborators: 75
🏛 Institutions: University of Victoria, University of Alberta, Hubei University of Technology, Zhejiang Provincial People's Hospital

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago