Optimal Control for Water Distribution Networks with Unknown Dynamics

Jorge Val Ledesma; Rafal Wisniewski; Carsten Kallesøe

doi:10.1016/j.ifacol.2020.12.075

Optimal Control for Water Distribution Networks with Unknown Dynamics

Jorge Val Ledesma^*, Rafal Wisniewski, Carsten Kallesøe

^*Kontaktforfatter

Publikation: Bidrag til tidsskrift › Konferenceartikel i tidsskrift › Forskning › peer review

4 Citationer (Scopus)

61 Downloads (Pure)

Abstract

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.

Originalsprog	Engelsk
Bogserie	IFAC-PapersOnLine
Vol/bind	53
Udgave nummer	2
Sider (fra-til)	6577-6582
Antal sider	6
ISSN	2405-8963
DOI	https://doi.org/10.1016/j.ifacol.2020.12.075
Status	Udgivet - 2020
Begivenhed	21th IFAC World Congress - Berlin, Tyskland Varighed: 12 jul. 2020 → 17 jul. 2020

Konference

Konference	21th IFAC World Congress
Land/Område	Tyskland
By	Berlin
Periode	12/07/2020 → 17/07/2020

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10.1016/j.ifacol.2020.12.075Licens: CC BY-NC-ND 4.0

Open Access articleForlagets udgivne version, 969 KBLicens: CC BY-NC-ND 4.0

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Smart Water Infrastructures Laboratory (SWIL)
Jorge Val Ledesma (Operatør), Rafal Wisniewski (Leder), Carsten Kallesøe (Operatør), Saruch Satishkumar Rathore (Leder), Rahul Misra (Leder), Vishal Sopan Sawant (Leder) & Abhijit Mazumdar (Leder)
Institut for Elektroniske Systemer
Facilitet: Laboratorie

Citationsformater

@inproceedings{5980a2e0c8074cb1b6b1a050229f2243,

title = "Optimal Control for Water Distribution Networks with Unknown Dynamics",

abstract = "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.",

keywords = "Water Supply, Reinforcement Learning (RL), Level Control, Water Distribution Networks",

author = "Ledesma, {Jorge Val} and Rafal Wisniewski and Carsten Kalles{\o}e",

year = "2020",

doi = "10.1016/j.ifacol.2020.12.075",

language = "English",

volume = "53",

pages = "6577--6582",

journal = "IFAC-PapersOnLine",

issn = "2405-8963",

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note = "21th IFAC World Congress ; Conference date: 12-07-2020 Through 17-07-2020",

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T1 - Optimal Control for Water Distribution Networks with Unknown Dynamics

AU - Ledesma, Jorge Val

AU - Wisniewski, Rafal

AU - Kallesøe, Carsten

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Water Supply

KW - Reinforcement Learning (RL)

KW - Level Control

KW - Water Distribution Networks

UR - http://www.scopus.com/inward/record.url?scp=85105064634&partnerID=8YFLogxK

U2 - 10.1016/j.ifacol.2020.12.075

DO - 10.1016/j.ifacol.2020.12.075

M3 - Conference article in Journal

SN - 2405-8963

VL - 53

SP - 6577

EP - 6582

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

IS - 2

T2 - 21th IFAC World Congress

Y2 - 12 July 2020 through 17 July 2020

ER -

Optimal Control for Water Distribution Networks with Unknown Dynamics

Abstract

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Smart Water Infrastructures Laboratory (SWIL)

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