Papers
2
Total Citations
9
H-Index
2
About
Mengji Shi is a leading researcher in the control and coordination of multi-agent systems, with a primary focus on consensus tracking and distributed control for complex robotic networks. Their work bridges theoretical rigor and practical implementation, particularly in addressing the challenges of uncertain dynamics and communication constraints. Shi’s most-cited paper (2024, 7 citations) introduces a neural network-based distributed consensus tracking controller for Euler–Lagrange systems over directed topologies, offering a robust solution for systems with unknown parameters. An earlier foundational contribution (2014, 2 citations) proposed a simple yet effective frequency-domain method to achieve consensus in multi-robot systems with directed topologies and nonuniform time delays, enabling rectilinear consensus motions for second-order systems. This work laid important groundwork for scalable coordination in mobile robotics. Shi’s research has direct implications for autonomous vehicle platooning, drone swarms, and industrial automation, where reliable, delay-tolerant control is critical. Their achievements demonstrate a consistent ability to simplify complex control problems, making advanced multi-agent coordination more accessible for real-world applications.
Research Focus
Key Achievements
Top Papers
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