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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/122656
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dc.contributor.authorLobo Pereira, Fernando-
dc.contributor.authorFontes, Fernando ArmÉnio-
dc.contributor.authorFerreira, Maria Margarida-
dc.contributor.authorPinho, Maria Do RosÁrio-
dc.contributor.authorOliveira, Vilma Alves-
dc.contributor.authorCosta, Eduardo-
dc.contributor.authorSilva, Geraldo Nunes-
dc.date.accessioned2015-04-27T11:55:56Z-
dc.date.accessioned2016-10-25T20:46:47Z-
dc.date.available2015-04-27T11:55:56Z-
dc.date.available2016-10-25T20:46:47Z-
dc.date.issued2013-
dc.identifierhttp://www.hindawi.com/journals/cpis/2013/769598/-
dc.identifier.citationConference Papers in Mathematics, v. 2013, p. 1-15, 2013.-
dc.identifier.issn2314-4777-
dc.identifier.urihttp://hdl.handle.net/11449/122656-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/122656-
dc.description.abstractAn optimal control framework to support the management and control of resources in a wide range of problems arising in agriculture is discussed. Lessons extracted from past research on the weed control problem and a survey of a vast body of pertinent literature led to the specification of key requirements to be met by a suitable optimization framework. The proposed layered control structure—including planning, coordination, and execution layers—relies on a set of nested optimization processes of which an “infinite horizon” Model Predictive Control scheme plays a key role in planning and coordination. Some challenges and recent results on the Pontryagin Maximum Principle for infinite horizon optimal control are also discussed.en
dc.format.extent1-15-
dc.language.isoeng-
dc.sourceCurrículo Lattes-
dc.titleAn Optimal Control Framework for Resources Management in Agricultureen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationUniversidade Estadual Paulista Júlio de Mesquita Filho, Departamento de Ciência da Computação e Estatística, Instituto de Biociências Letras e Ciências Exatas de São José do Rio Preto, São José do Rio Preto, RUA CRISTOVÃO CRISTOVÃO COLOMBO, 2265 (Sala 15 - DCCE), JD NAZARETH, CEP 15054000, SP, Brasil-
dc.description.affiliationUnespUniversidade Estadual Paulista Júlio de Mesquita Filho, Departamento de Ciência da Computação e Estatística, Instituto de Biociências Letras e Ciências Exatas de São José do Rio Preto, São José do Rio Preto, RUA CRISTOVÃO CRISTOVÃO COLOMBO, 2265 (Sala 15 - DCCE), JD NAZARETH, CEP 15054000, SP, Brasil-
dc.description.affiliationUnespUniversidade do Porto, Instituto de Sistemas e Robótica Porto, Rua Roberto Frias s/n, 4200-465 Porto, Portugal-
dc.description.affiliationUnespUniversidade de São Paulo, Avenida Trabalhador Sãocarlense 400, 13560-970 São Carlos, SP, Brazil-
dc.identifier.doihttp://dx.doi.org/10.1155/2013/769598-
dc.rights.accessRightsAcesso aberto-
dc.identifier.fileISSN2314-4777-2013-2013-01-15.pdf-
dc.relation.ispartofConference Papers in Mathematics-
dc.identifier.lattes3638688119433520-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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