dc.contributor
Institut de Robòtica i Informàtica Industrial
dc.contributor
Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.contributor
Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
dc.contributor.author
Wang, Ye
dc.contributor.author
Álamo, Teodoro
dc.contributor.author
Puig Cayuela, Vicenç
dc.contributor.author
Cembrano Gennari, Gabriela
dc.identifier
Wang, Y., Álamo, T., Puig, V., Cembrano, M. Periodic economic model predictive control with nonlinear-constraint relaxation for water distribution networks. A: IEEE Conference on Control Applications. "Proceedings of the 2016 IEEE Conference on Control Applications (CCA). Part of 2016 IEEE Multi-Conference on Systems and Control.". Buenos Aires: Institute of Electrical and Electronics Engineers (IEEE), 2016, p. 1167-1172.
dc.identifier
978-1-5090-0754-7
dc.identifier
https://hdl.handle.net/2117/104916
dc.identifier
10.1109/CCA.2016.7587964
dc.description.abstract
© 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.description.abstract
In this paper, a periodic economic model predictive control (EMPC) strategy with nonlinear algebraic
constraint relaxations for water distribution networks (WDNs) is presented. A WDN is usually modeled by a series
of differential-algebraic equations. When the hydraulic pressure/head and flow relations in the interconnected pipes
are considered, the nonlinear algebraic equations will appear in the control-oriented model of WDNs. Specifically,
two types of nonlinear algebraic equations are studied in terms of unidirectional and bidirectional flows in pipes.
These nonlinear algebraic constraints are iteratively relaxed by a series of linear constraints. Therefore, the proposed
EMPC strategy can be implemented by solving an optimization problem using the linear programming technique.
Finally, the EMPC strategy with nonlinear algebraic constraint relaxations is verified in the Richmond water network.
The comparison results of applying nonlinear EMPC strategy are also provided. The proposed nonlinear-constraint
relaxation technique turns out to be much faster than the one obtained by a standard nonlinear optimization solver.
dc.description.abstract
Peer Reviewed
dc.description.abstract
Postprint (author's final draft)
dc.format
application/pdf
dc.publisher
Institute of Electrical and Electronics Engineers (IEEE)
dc.relation
http://ieeexplore.ieee.org/document/7587964/
dc.relation
info:eu-repo/grantAgreement/MINECO//DPI2013-48243-C2-1-R/ES/OPERACION EFICIENTE DE INFRAESTRUCTURAS CRITICAS/
dc.rights
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.rights
Attribution-NonCommercial-NoDerivs 3.0 Spain
dc.subject
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
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iterative methods
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linear programming
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nonlinear equations
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nonlinear programming
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predictive control
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periodic economic model predictive control
dc.subject
hydraulic head relation
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hydraulic flow relation
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interconnected pipes
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control-oriented model
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nonlinear algebraic equations
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unidirectional pipe flows
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bidirectional pipe flows
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iteratively relaxed nonlinear algebraic constraints
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linear constraints
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optimization problem
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linear programming technique
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Richmond water distribution network
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nonlinear EMPC strategy
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hydraulic pressure relation
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Classificació INSPEC::Control theory::Predictive control
dc.title
Periodic economic model predictive control with nonlinear-constraint relaxation for water distribution networks
dc.type
Conference report
