Developing and testing a Fuzzy Logic algorithm to alleviate the risk of flooding by controlling a flow control device in a laboratory setting

Abdel-Aal, M., Shepherd, W.J. orcid.org/0000-0003-4434-9442, Ostojin, S. et al. (6 more authors) (2017) Developing and testing a Fuzzy Logic algorithm to alleviate the risk of flooding by controlling a flow control device in a laboratory setting. In: Proceedings of the 14th IWA / IAHR International Conference on Urban Drainage (ICUD2017). 14th IWA / IAHR International Conference on Urban Drainage (ICUD2017), 10-15 Sep 2017, Prague, Czech Republic. Zenodo .

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2017 IWA/IAHR. Article available under the terms of the Creative Commons Attribution Share Alike 4.0 International License (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Keywords: Flow Control; Fuzzy Logic; Urban Flood Risk Reduction; Real Time Control; Urban Drainage
Dates:
  • Accepted: 2017
  • Published: 11 September 2017
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Civil and Structural Engineering (Sheffield)
Funding Information:
FunderGrant number
European Commission - Horizon 2020641931
Depositing User: Symplectic Sheffield
Date Deposited: 28 Sep 2017 13:18
Last Modified: 24 Jun 2020 09:22
Status: Published
Publisher: Zenodo
Refereed: Yes
Identification Number: https://doi.org/10.5281/zenodo.890881
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