Maoyu Wang
Papers
1
Total Citations
3
H-Index
1
About
Dr. Maoyu Wang is a rising researcher in the field of autonomous underwater vehicle (AUV) control systems, with a primary focus on robust path tracking and disturbance rejection. His most significant contribution is a novel disturbance observer-based fuzzy sliding mode control (SMC) scheme, which addresses the critical challenge of mismatched disturbances in AUV navigation. By integrating a fuzzy logic controller for system rectification, Dr. Wang’s work simplifies the complex parameter tuning process, offering a more adaptive and resilient solution for real-world underwater operations. This innovative approach, detailed in his 2023 paper, has already garnered 3 citations, signaling early impact in the robotics and control engineering community. His research bridges the gap between theoretical control methods and practical implementation, enhancing the reliability of AUVs in uncertain marine environments. Dr. Wang’s work is particularly valuable for students and engineers seeking efficient, intelligent control strategies for autonomous systems operating under unpredictable conditions.
Research Focus
Key Achievements
Top Papers
- 1