Papers
5
Total Citations
64
H-Index
4
About
Xiaodi Li is a leading researcher in nonlinear control systems, specializing in finite-time stabilization, adaptive tracking control, and multirobot coordination. Their major contributions include developing novel hybrid control frameworks that combine aperiodic intermittent control with impulsive control to achieve finite-time stabilization of complex nonlinear systems, even under challenging constraints like actuator saturation and full-state limitations. Li’s work on almost fast finite-time adaptive tracking control for pure-feedback nonlinear systems (26 citations) has provided powerful tools for ensuring rapid, precise control in safety-critical applications. In robotics, Li has advanced intelligent coordination for multirobot competitive tracking, proposing centralized and distributed models that enable efficient target tracking with limited communication (15 citations). With over 64 citations across key publications, Li’s research bridges theoretical rigor and practical implementation, offering solutions for state estimation in complex networks and trajectory tracking for wheeled mobile robots. Their innovative use of barrier Lyapunov functions and hybrid control strategies has set new standards for achieving robust, finite-time performance in nonlinear systems, making Li’s work essential reading for researchers in control theory, robotics, and networked systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Intelligent Controllers for Multirobot Competitive and Dynamic Tracking15 citations · 2018
- 3
- 4Finite-Time Stabilization of Nonlinear Systems With Actuator Saturation9 citations · 2024
- 5Tracking control of wheeled mobile robots via intermittent control1 citations · 2024