Optimal Control for Water Distribution Networks with Unknown Dynamics

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Abstrakt

Optimal control for Water Distribution Networks (WDN) is subject to complex system models. Typically, detailed models are not available or the implementation is too expensive for small utilities. Reinforcement Learning (RL) methods are well known techniques for model-free control. This paper proposes a model-free controller for WDNs based on RL methods and presents experimental evidence of the practicality of the design.
OriginalsprogEngelsk
BogserieIFAC-PapersOnLine
Vol/bind53
Udgave nummer2
Sider (fra-til)6577-6582
Antal sider6
ISSN2405-8963
DOI
StatusUdgivet - 2020
Begivenhed21th IFAC World Congress - Berlin, Tyskland
Varighed: 12 jul. 202017 jul. 2020

Konference

Konference21th IFAC World Congress
Land/OmrådeTyskland
ByBerlin
Periode12/07/202017/07/2020

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