Model predictive control of Murray-darling basin networks

Li, L; Okello, N; Pham, M; Saleem, SK; Qiu, W; Evans, R; Mareels, I

Model predictive control of Murray-darling basin networks

Li, L

Okello, N Pham, M Saleem, SK Qiu, W Evans, R Mareels, I

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Publication Type:: Conference Proceeding
Citation:: Proceedings of the 2011 Chinese Control and Decision Conference, CCDC 2011, 2011, pp. 722 - 727
Issue Date:: 2011-09-05

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Field	Value	Language
dc.contributor.author	Li, L https://orcid.org/0000-0001-8485-2216	en_US
dc.contributor.author	Okello, N	en_US
dc.contributor.author	Pham, M	en_US
dc.contributor.author	Saleem, SK	en_US
dc.contributor.author	Qiu, W	en_US
dc.contributor.author	Evans, R	en_US
dc.contributor.author	Mareels, I	en_US
dc.date.issued	2011-09-05	en_US
dc.identifier.citation	Proceedings of the 2011 Chinese Control and Decision Conference, CCDC 2011, 2011, pp. 722 - 727	en_US
dc.identifier.isbn	9781424487363	en_US
dc.identifier.uri	http://hdl.handle.net/10453/16424
dc.description.abstract	River basins are the most significant component in water supply grids and are under increasing pressure from competing demands for fresh water. However, unlike energy grids which are managed very efficiently using closed-loop operation, water grids, and river basins in particular, are largely open-loop systems. One reason is the difficulty associated with developing suitable models and feedback controllers. This paper proposes a systematic approach using model predictive control based on simple low order models for the real-time operation of entire river basin networks. © 2011 IEEE.	en_US
dc.relation.ispartof	Proceedings of the 2011 Chinese Control and Decision Conference, CCDC 2011	en_US
dc.relation.isbasedon	10.1109/CCDC.2011.5968277	en_US
dc.title	Model predictive control of Murray-darling basin networks	en_US
dc.type	Conference Proceeding
utslib.for	1005 Communications Technologies	en_US
utslib.for	0907 Environmental Engineering	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
dc.location.activity	Mianyang, China	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

River basins are the most significant component in water supply grids and are under increasing pressure from competing demands for fresh water. However, unlike energy grids which are managed very efficiently using closed-loop operation, water grids, and river basins in particular, are largely open-loop systems. One reason is the difficulty associated with developing suitable models and feedback controllers. This paper proposes a systematic approach using model predictive control based on simple low order models for the real-time operation of entire river basin networks. © 2011 IEEE.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/16424