Long Sheng
Papers
2
Total Citations
68
H-Index
2
About
Long Sheng is a leading researcher in the fields of networked control systems, iterative learning control, and multi-robot coordination. His work addresses critical challenges in the stability and performance of systems operating over unreliable communication channels, where time delays and data loss are prevalent. In his highly cited 2009 paper (40 citations), Sheng pioneered an iterative learning control approach for sampled-data nonlinear systems, effectively mitigating the effects of constant time delays and stochastic packet loss—a foundational contribution to the field. He further advanced multi-agent systems with his 2012 study (28 citations) on consensus-based formation control for networked mobile robots, introducing a novel distributed algorithm that leverages Lyapunov methods and linear matrix inequalities to ensure robust coordination despite communication constraints. Sheng’s research has had a lasting impact on the design of resilient, cooperative robotic networks, offering practical solutions for real-world applications in automation and autonomous systems. His work continues to inspire new generations of engineers and researchers tackling the complexities of networked control.
Research Focus
Key Achievements
Top Papers
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