Learning-Based Predictive Control with Gaussian Processes: An Application to Urban Drainage Networks

Abstract

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Real-time Data-driven Modelling and Predictive Control of Wastewater Networks

“…The setup and the schematics of the network configuration are shown in Figure 3.4. Source: [Balla et al, 2022b], [Balla et al, 2022a] Throughout the thesis, the laboratory setup enabled us to prototype control algorithms without the risk of compromising the operation of real-world infrastructure. The setup replicates a segment of a combined sewer network, where sewage is transported from an upstream pumping station to a downstream station through a gravity pipe.…”

“…Left: Pumping station and pipe modules in the laboratory.Right: Schematics of the network topology, where q and h denote flow and level sensors, respectively. Source:[Balla et al, 2022b] and[Balla et al, 2022a].…”