Enyi Tang
Papers
1
Total Citations
3
H-Index
1
About
Enyi Tang is a robotics and control systems researcher whose work focuses on advancing model predictive control (MPC) for autonomous navigation, particularly for wheeled mobile robots (WMRs). In his most-cited paper, "Navigating Discrete Difference Equation Governed WMR by Virtual Linear Leader Guided HMPC" (2020), Tang tackles a fundamental limitation in existing control theory. He proves that the state-of-the-art reachable set based hierarchical MPC (HMPC) is theoretically incapable of handling WMR navigation due to the non-existence of non-trivial linear systems for such robots. To overcome this, Tang introduces a novel virtual linear leader guidance framework, enabling effective HMPC-based navigation for discrete difference equation-governed WMRs. This contribution bridges a critical gap between theoretical control guarantees and practical robotic motion planning. With 3 citations to this work, Tang’s research is gaining recognition for its rigorous theoretical insights and practical relevance. His work is particularly valuable for students and researchers in robotics, control engineering, and autonomous systems, offering a clear path forward for applying MPC to complex, nonlinear robotic platforms.
Research Focus
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Top Papers
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