Zhimin Wu
Papers
3
Total Citations
18
H-Index
3
About
Zhimin Wu is a researcher specializing in multi-robot systems, adaptive control, and sliding mode control theory, with a focus on robust formation and trajectory tracking under uncertainty. Their major contributions lie in developing advanced control strategies that address modeling errors, friction disturbances, and external uncertainties in robotic systems. Wu’s 2019 paper on adaptive block compensation trajectory tracking using the LuGre friction model (8 citations) introduced a novel approach to mitigate interference in multi-joint robots, while their work on second-order sliding mode formation control via extreme learning machines (5 citations) advanced symmetrical pattern coordination in multi-robot teams. Notably, Wu’s adaptive-gain super-twisting sliding mode method (5 citations) enhanced robustness and response in formation design by dynamically adjusting control gains to counter uncertainties and disturbances. These contributions have been cited in subsequent robotics and control engineering studies, highlighting their impact on improving real-world robot performance. Wu’s research is particularly valuable for students and engineers seeking practical solutions to nonlinear dynamics and cooperative control challenges.
Research Focus
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Top Papers
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