Huibao Yang
Papers
1
Total Citations
2
H-Index
1
About
Huibao Yang is a researcher specializing in nonlinear control systems and bio-inspired robotics, with a particular focus on underwater robotic fish. His work addresses the fundamental challenge of achieving efficient and precise trajectory tracking in inherently nonlinear and underactuated systems. Yang’s most notable contribution is the development of a novel DBO-Backstepping control method, which integrates dung beetle optimization (DBO) with backstepping techniques to enhance the stability and accuracy of robotic fish in complex underwater environments. This work, published in 2024, has already garnered attention with 2 citations, reflecting its emerging impact in the field of marine robotics. Yang’s research is pivotal for advancing autonomous underwater vehicles, enabling more reliable performance in diverse scenarios such as environmental monitoring and exploration. His innovative approach to control theory not only addresses classical challenges but also opens new pathways for practical applications in underwater technology, making him a promising figure in the intersection of robotics and control engineering.
Research Focus
Key Achievements
Top Papers
- 1