Papers
19
Total Citations
700
H-Index
11
About
Zhenwei Cao is a control systems engineer whose research has made substantial contributions to the field of advanced robotic control, with a particular focus on flexible joint robots (FJRs) and sliding mode control (SMC) methodologies. His work addresses some of the most persistent challenges in robotic manipulation — underactuation, nonlinearity, coupling dynamics, and external disturbances — developing sophisticated control frameworks that enhance precision and robustness. His most influential contributions include a cascaded extended state observer-based sliding mode control scheme (192 citations) and a robust terminal sliding mode controller for underactuated FJRs (190 citations), both of which have become widely referenced benchmarks in the field. Cao has progressively advanced his methodologies to incorporate adaptive integral sliding mode control using singular perturbation techniques, fixed-time convergence for aerial robotic systems, and data-assisted discrete-time control for robotic fish, demonstrating impressive breadth across robotic platforms. His earlier foundational work on hierarchical and super-twisting sliding mode controllers established a trajectory that has grown into a highly cited body of research exceeding 650 total citations. With publications spanning from 2016 to 2025, Cao represents a sustained and evolving voice in intelligent robust control for next-generation robotic systems.
Research Focus
Key Achievements
Top Papers
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- 8Design of decentralized multi-input multi-output repetitive control systems19 citations · 2016
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