Papers
1
Total Citations
33
H-Index
1
About
Yuxiang Li is a leading researcher in control theory and cyber-physical systems (CPS), with a primary focus on model predictive control (MPC) and event-triggered mechanisms. Their most cited work, "PID-Based Event-Triggered MPC for Constrained Nonlinear Cyber-Physical Systems: Theory and Application" (2024, 33 citations), introduces a novel framework that integrates PID control principles into event-triggered MPC. This innovation significantly reduces communication and computational burdens in CPS while maintaining robust constraint handling and stability—a critical advancement for resource-limited applications like autonomous vehicles and industrial automation. Li’s contributions bridge theoretical rigor with practical implementation, offering a systematic approach to balancing performance and efficiency in nonlinear systems. By explicitly addressing physical constraints and communication constraints, their work has garnered attention from both academic and engineering communities, with citations reflecting its growing influence. Li continues to push boundaries in constrained nonlinear control, making their research essential reading for students and professionals seeking to optimize real-time decision-making in complex, networked environments.
Research Focus
Key Achievements
Top Papers
- 1