Xindi Yang
Papers
1
Total Citations
8
H-Index
1
About
Xindi Yang is a rising scholar in the field of control systems engineering, with a primary focus on data-driven predictive control and time-delay modeling for continuous-time systems. Their most-cited work, "A Time-Delay Modeling Approach for Data-Driven Predictive Control of Continuous-Time Systems" (2024, 8 citations), introduces a novel framework that addresses a critical gap in existing control theory: the ability to predict future optimal control inputs for unknown continuous-time linear systems despite observation loss. Unlike conventional methods that assume uninterrupted feedback, Yang’s approach innovatively models the causal relationship between delayed observations and sequence feedback, enabling robust control under realistic data constraints. This contribution is particularly significant for applications in autonomous systems, industrial automation, and cyber-physical networks where sensor delays or data dropouts are common. Though early in their career, Yang’s work has already attracted attention for its practical relevance and theoretical rigor, marking them as a promising researcher bridging the gap between classical control theory and modern data-driven methodologies. Their research holds potential to advance real-time decision-making in complex, uncertain environments.
Research Focus
Key Achievements
Top Papers
- 1