Xiefu Jiang
Papers
2
Total Citations
148
H-Index
2
About
Xiefu Jiang is a leading researcher in networked control systems and autonomous multi-vehicle coordination. His most influential work, "On Designing Fuzzy Controllers for a Class of Nonlinear Networked Control Systems" (2008), has garnered 146 citations and addresses critical challenges in nonlinear networked control by approximating systems with uncertain linear Takagi-Sugeno (T-S) models. Jiang’s key contribution lies in deriving sufficient conditions for controller existence that account for both network-induced delay and data packet dropout—practical issues that plague real-world control networks. This work has significantly advanced the theoretical foundation for robust fuzzy control in unreliable communication environments. More recently, Jiang has extended his expertise to autonomous vehicle systems, as demonstrated in his 2018 paper on multi-vehicle queue following control using vision and laser sensors, implemented on the Robot Operating System (ROS). This work introduces a leader-follower model with camshaft-based video processing, showcasing his ability to bridge theory and application. Jiang’s research continues to influence both control theory and autonomous systems, making him a notable figure in these intersecting fields.
Research Focus
Key Achievements
Top Papers
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