Linyan Wu
Papers
1
Total Citations
4
H-Index
1
About
Linyan Wu is a researcher specializing in underwater robotics and intelligent control systems, with a particular focus on optimizing autonomous vehicle performance through advanced computational methods. Their most notable contribution is the development of a control system for underwater remotely operated vehicles (ROVs) that integrates an optimized PID controller enhanced by an improved particle swarm optimization algorithm. This work, published in 2023 and garnering 4 citations, addresses critical challenges in precision maneuvering and stability in complex underwater environments. By refining the particle swarm optimization technique, Wu has advanced the efficiency and robustness of ROV control, offering practical solutions for deep-sea exploration, marine infrastructure inspection, and environmental monitoring. Their research bridges the gap between classical control theory and modern metaheuristic optimization, demonstrating a clear impact on the field of marine robotics. Wu’s work is particularly relevant for students and researchers interested in the intersection of artificial intelligence, control engineering, and autonomous systems, highlighting how algorithmic improvements can directly enhance real-world robotic applications in challenging settings.
Research Focus
Key Achievements
Top Papers
- 1