13 citations · 33 across the 15 of their papers we have counts for
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cs.LG2022
Meta-Learning of Neural State-Space Models Using Data From Similar Systems
Ankush Chakrabarty, Gordon Wichern, Christopher R. Laughman
Deep neural state-space models (SSMs) provide a powerful tool for modeling dynamical systems solely using operational data. Typically, neural SSMs are trained using data collected…
cs.LG2022
Optimizing Closed-Loop Performance with Data from Similar Systems: A Bayesian Meta-Learning Approach
Ankush Chakrabarty
Bayesian optimization (BO) has demonstrated potential for optimizing control performance in data-limited settings, especially for systems with unknown dynamics or unmodeled perform…
eess.SY2022★ 1 cited
Data-Driven Identification of Dynamic Quality Models in Drinking Water Networks
Shen Wang, Ankush Chakrabarty, Ahmad F. Taha
Traditional control and monitoring of water quality in drinking water distribution networks (WDN) rely on mostly model- or toolbox-driven approaches, where the network topology and…