Papers
2
Total Citations
9
H-Index
2
About
Yu Tang is a researcher in advanced robotics and electro-hydraulic control systems, with a focus on heavy machinery automation for tunneling applications. His primary contributions lie in developing robust control strategies for 2-degrees-of-freedom (2-DOF) hydraulic tunneling robots, addressing critical challenges such as high nonlinearities, strong uncertainties, and external disturbances. Tang’s most cited work, "Disturbance observer–based backstepping sliding mode cascade control of 2–degrees of freedom hydraulic tunneling robot" (2023, 6 citations), introduces a novel cascade control method that integrates a disturbance observer with backstepping sliding mode techniques and an adaptive compensator to achieve precise position tracking. This approach significantly enhances the stability and accuracy of robotized hydraulic-driven roadheaders. His subsequent paper, "Disturbance compensation based robust backstepping control for 2-DOF electro-hydraulic tunneling robot" (2024, 3 citations), further refines these methods, demonstrating ongoing innovation in disturbance compensation. Tang’s work is pivotal for advancing autonomous tunneling robots, offering practical solutions for real-world industrial applications where reliability and precision are paramount. His research bridges theoretical control engineering with applied robotics, making him a notable figure in the field of hydraulic system automation.
Research Focus
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Top Papers
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