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A Framework for the Sustainable Control and Optimization of Resources in Agriculture

dc.contributor.authorPereira, Fernando Lobo
dc.contributor.authorPena, Ismael [UNESP]
dc.contributor.authorSilva, Geraldo Nunes [UNESP]
dc.contributor.institutionFaculty of Electrical Engineering
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2020-12-12T02:38:13Z
dc.date.available2020-12-12T02:38:13Z
dc.date.issued2019-12-01
dc.description.abstractThis article concerns the issue of optimizing strategies of resources management in Agriculture. The increasing human population, and the anthropogenic environmental impacts resulting from the current agricultural food production practice raise tremendous challenges as the latter constitutes a huge threat to the overarching goal of eliminating hunger from the Earth's face. The contribution of this article consists in showing the stability and convergence of a bi-level optimization based control architecture to de-conflict the short-term profit-seeking goals of each agricultural production unit with the long-term goal of attaining the collective environmental equilibrium required to preserve the necessary food production efficiency level. Given the complexity of any realistic scenario, we consider a very simple context clarifying the core mathematical issues of a bi-level control architecture previously proposed by the authors that, under reasonable assumptions, generates control strategies ensuring the asymptotic convergence to an environmentally healthy equilibrium while ensuring the economic (and, thus, social) short term sustainability.en
dc.description.affiliationPorto University And with the Institute for Systems and Robotics SYSTEC Faculty of Electrical Engineering
dc.description.affiliationSão Paulo State University (UNESP) Department of Applied Mathematics
dc.description.affiliationUnespSão Paulo State University (UNESP) Department of Applied Mathematics
dc.format.extent2344-2349
dc.identifierhttp://dx.doi.org/10.1109/CDC40024.2019.9029999
dc.identifier.citationProceedings of the IEEE Conference on Decision and Control, v. 2019-December, p. 2344-2349.
dc.identifier.dimensionspub.1125628851
dc.identifier.doi10.1109/CDC40024.2019.9029999
dc.identifier.isbn978-1-7281-1398-2
dc.identifier.issn0743-1546
dc.identifier.orcid0000-0002-9602-2452
dc.identifier.orcid0000-0002-3574-9893
dc.identifier.scopus2-s2.0-85082477649
dc.identifier.urihttp://hdl.handle.net/11449/201653
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartofProceedings of the IEEE Conference on Decision and Control
dc.rights.accessRightsAcesso restritopt
dc.rights.sourceRightsclosed
dc.sourceScopus
dc.sourceDimensions
dc.titleA Framework for the Sustainable Control and Optimization of Resources in Agricultureen
dc.typeTrabalho apresentado em eventopt
dspace.entity.typePublication
relation.isOrgUnitOfPublication43c38943-bd6f-4fb6-a9a5-8482a1f632c0
relation.isOrgUnitOfPublication.latestForDiscovery43c38943-bd6f-4fb6-a9a5-8482a1f632c0
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Biociências, Letras e Ciências Exatas, São José do Rio Pretopt
unesp.departmentMatemática Aplicada - IBILCEpt

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