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dc.contributor.authorSilva, Thiago Lima
dc.contributor.authorPavlov, Alexey
dc.date.accessioned2021-04-19T07:18:12Z
dc.date.available2021-04-19T07:18:12Z
dc.date.created2021-01-12T10:00:41Z
dc.date.issued2021
dc.identifier.citationIFAC-PapersOnLine. 2021, 53 (2), 1633-1639.en_US
dc.identifier.issn2405-8963
dc.identifier.urihttps://hdl.handle.net/11250/2738227
dc.description.abstractIn this paper we consider the problem of optimization of a multi-agent system with constraints through perturbations-based extremum seeking control. We demonstrate that for such systems, effects of dither signals applied to individual agents can sum up to significant perturbations in the outputs at the overall system level despite the fact that individual dither signals can be small. These perturbations are especially detrimental in constrained outputs. To resolve this challenge, we propose a method of dither signals optimization: while maintaining persistent perturbations of individual agents, dither signals are coordinated between the agents to minimize their summed effect in constrained outputs. This problem is formulated as a computationally feasible mathematical programming problem that can be solved numerically at each time step. Combined with a constrained steady-state optimizer and a least squares-based gradient estimator, this method provides better performance than a similar perturbation-based extremum seeking scheme without dither optimization. This is demonstrated with an example on oil production optimization from a system of multiple gas-lifted wells with a total water processing constraint.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.relation.urihttps://www.sciencedirect.com/science/article/pii/S2405896320328731
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleDither signals optimization in constrained multi-agent extremum seeking controlen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber1633-1639en_US
dc.source.volume53en_US
dc.source.journalIFAC-PapersOnLineen_US
dc.source.issue2en_US
dc.identifier.doi10.1016/j.ifacol.2020.12.2217
dc.identifier.cristin1869608
cristin.ispublishedfalse
cristin.fulltextoriginal
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal