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A distributed predictive control approach for periodic flow-based networks: application to drinking water systems

AuthorsGrosso, J. M.; Ocampo-Martinez, Carlos ; Puig, Vicenç
KeywordsEconomic model predictive control
Flow networks
Distributed control
Large-scale systems
Issue Date2017
PublisherTaylor & Francis
CitationInternational Journal of Systems Science 48(14): 3106-3117 (2017)
AbstractThis paper proposes a distributed model predictive control approach designed to work in a cooperative manner for controlling flow-based networks showing periodic behaviours. Under this distributed approach, local controllers cooperate in order to enhance the performance of the whole flow network avoiding the use of a coordination layer. Alternatively, controllers use both the monolithic model of the network and the given global cost function to optimise the control inputs of the local controllers but taking into account the effect of their decisions over the remainder subsystems conforming the entire network. In this sense, a global (all-to-all) communication strategy is considered. Although the Pareto optimality cannot be reached due to the existence of non-sparse coupling constraints, the asymptotic convergence to a Nash equilibrium is guaranteed. The resultant strategy is tested and its effectiveness is shown when applied to a large-scale complex flow-based network: the Barcelona drinking water supply system.
Publisher version (URL)https://doi.org/10.1080/00207721.2017.1367051
Identifiersdoi: 10.1080/00207721.2017.1367051
e-issn: 1464-5319
issn: 0020-7721
Appears in Collections:(IRII) Artículos
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