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eess.SY2025
System-Level Performance and Communication Tradeoff in Networked Control with Predictions
Yifei Wu, Jing Yu, Tongxin Li
Distributed control of large-scale systems is challenging due to the need for scalable and localized communication and computation. In this work, we introduce a Predictive System-L…
eess.SY2025
Learning-Augmented Control: Adaptively Confidence Learning for Competitive MPC
Tongxin Li
We introduce Learning-Augmented Control (LAC), an approach that integrates untrusted machine learning predictions into the control of constrained, nonlinear dynamical systems. LAC…
eess.SY2023★ 1 cited
Out-of-Distribution-Aware Electric Vehicle Charging
Tongxin Li, Chenxi Sun
We tackle the challenge of learning to charge Electric Vehicles (EVs) with Out-of-Distribution (OOD) data. Traditional scheduling algorithms typically fail to balance near-optimal…