Zhenya Wei
Papers
1
Total Citations
3
H-Index
1
About
Dr. Zhenya Wei is a researcher focused on intelligent control systems for autonomous vehicles, with particular expertise in neural network and fuzzy logic integration for path tracking in complex environments. Their most cited work, "The Study on Path Tracking Control Method Based on Fuzzy-CMAC for Autonomous Vehicle in Rural Environment" (2020), addresses a critical challenge in mobile robotics: the inadequacy of conventional dynamic model-based control methods in unpredictable outdoor settings. Dr. Wei's key contribution is the development of a composite control method combining Cerebellar Model Articulation Controller (CMAC) neural networks with fuzzy control, enabling more robust and adaptive vehicle navigation in rural terrains. This innovative approach bridges the gap between traditional control theory and modern machine learning techniques, offering practical solutions for autonomous systems operating in unstructured environments. While their citation count is currently modest, Dr. Wei's work represents an important step toward reliable autonomous vehicle control in agricultural and rural applications, where environmental variability poses significant challenges to standard control algorithms.
Research Focus
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Top Papers
- 1