Papers
6
Total Citations
62
H-Index
4
About
Xianwen Gao is a control systems researcher whose work focuses on the stabilization and intelligent control of complex dynamic systems, particularly those involving time delays, stochastic disturbances, and robotic applications. His most impactful contribution addresses finite-time stabilization for stochastic Markovian jump systems with time-varying delay, a paper that has garnered 27 citations and provides new criteria for ensuring system stability within a finite time horizon. Gao has also made significant advances in mobile robot path planning, developing improved ant colony optimization algorithms that integrate fuzzy logic and chaos theory to enhance navigation efficiency in both 2D and 3D environments. His work on network teleoperation robot systems, which employs fuzzy sliding mode control to mitigate the destabilizing effects of stochastic network delays, has been cited 12 times. Across his publications, Gao demonstrates a consistent focus on bridging theoretical control theory with practical robotics, using adaptive and intelligent algorithms to solve real-world challenges in automation and autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1
- 2Network Teleoperation Robot System Control Based on Fuzzy Sliding Mode12 citations · 2016
- 3
- 4
- 5
- 6