Yingjiang Zhou
Papers
1
Total Citations
4
H-Index
1
About
Yingjiang Zhou is a control systems researcher specializing in advanced nonlinear control strategies for robotic manipulators, particularly cable-driven systems. His primary research areas include sliding mode control, time delay estimation (TDE), and safety-constrained trajectory tracking. Zhou’s major contribution lies in developing an adaptive super-twisting multivariable fast terminal sliding mode control scheme that integrates TDE with asymmetric error constraints, enabling high-precision trajectory tracking for cable-driven manipulators operating under complex, unknown uncertainties. This work, published in 2022, has garnered 4 citations and addresses critical safety challenges by imposing constraints on tracking errors, a notable achievement for real-world robotic applications where precision and safety are paramount. Zhou’s approach stands out for its robustness against disturbances without requiring exact system models, making it highly practical for industrial and medical robotics. His research bridges theoretical control design with practical implementation, offering a compelling solution for engineers and researchers tackling nonlinear, uncertain environments.
Research Focus
Key Achievements
Top Papers
- 1