Lixun Huang
Papers
1
Total Citations
10
H-Index
1
About
Lixun Huang is a researcher focused on the intersection of robotics, control theory, and networked systems, with a particular emphasis on iterative learning control (ILC) for mobile robots. His work addresses critical challenges in remote robot operation, such as signal degradation and channel noise, which are essential for real-world applications in wireless and autonomous systems. In his highly cited 2019 paper, "Robustness Analysis of Iterative Learning Control for a Class of Mobile Robot Systems With Channel Noise," Huang developed a robust tracking framework for unicycle-type mobile robots controlled over wireless networks. By explicitly modeling the impact of channel noise on nonlinear system dynamics, he proposed an ILC strategy that ensures reliable performance despite communication imperfections. This contribution has garnered 10 citations, reflecting its relevance to researchers tackling noise-robust control in cyber-physical systems. Huang’s work is notable for bridging theoretical control analysis with practical robotic challenges, offering insights that advance the reliability of remote and autonomous navigation. His research continues to influence the design of resilient control algorithms for mobile robots operating in uncertain and noisy environments.
Research Focus
Key Achievements
Top Papers
- 1