Tunable linear feedback control of urban drainage systems using models defined purely from data
Travis Adrian Dantzer,
Branko Kerkez
Abstract:Real-time and model-predictive control promises to make urban drainage systems (UDS) adaptive, coordinated, and dynamically optimal. Though early implementations are promising, existing control algorithms have drawbacks in computational expense, trust, system-level coordination, and labor cost. Linear feedback control has distinct advantages in computational expense, interpretation, and coordination. However, current methods for building linear feedback controllers require calibrated software models. Here we p… Show more
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