Papers
2
Total Citations
16
H-Index
1
About
Ruoxia Li is a rising researcher in the field of intelligent control systems, with a primary focus on model predictive control (MPC), mobile robotics, and cyber-physical security. Her work addresses critical challenges in real-time control, particularly the high computational and communication demands of traditional MPC. In her most-cited paper, "Design of a Model Predictive Trajectory Tracking Controller for Mobile Robot Based on the Event-Triggering Mechanism" (2021, 15 citations), Li introduced an innovative event-triggered approach that reduces the frequency of optimization computations, enabling efficient and accurate trajectory tracking for mobile robots. This contribution is significant for applications in autonomous navigation and resource-constrained environments. More recently, Li has extended her research to address emerging threats in networked control systems, as seen in her 2025 work on "Data-driven multi-model predictive control for nonlinear systems under cyber attacks." By integrating data-driven techniques with multi-model control, she is pioneering methods to maintain system stability and performance even when sensors or actuators are compromised. Though early in her career, Li’s work demonstrates a clear trajectory toward practical, secure, and computationally efficient control solutions—a vital area for the future of autonomous systems and industrial automation.
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