POMACS · 2021
Information Aggregation for Constrained Online Control
Proceedings of the ACM on Measurement and Analysis of Computing Systems
How much feasibility information must a local controller share?
Entropic aggregation summarizes a local controller's feasible actions for a remote decision maker. Penalized Predictive Control can approach the regret of full information control under causal invariance and a sufficiently long prediction window.
Research themes
Connections
Guarantees meet physical infrastructure
Aggregate flexibility communicates feasible actions for coordinated charging. Robust dispatch and safe water control connect performance guarantees to operational costs and physical constraints.
Cite this paper
Tongxin Li, Yue Chen, Bo Sun, Adam Wierman, Steven Low. Information Aggregation for Constrained Online Control. Proceedings of the ACM on Measurement and Analysis of Computing Systems, 2021. https://doi.org/10.1145/3460085
BibTeX
@article{tongxin-information-aggregation,
title = {{Information Aggregation for Constrained Online Control}},
author = {Tongxin Li and Yue Chen and Bo Sun and Adam Wierman and Steven Low},
year = {2021},
journal = {Proceedings of the ACM on Measurement and Analysis of Computing Systems},
url = {https://doi.org/10.1145/3460085},
doi = {10.1145/3460085}
}
Other versions
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