An Optimal Control Framework for Resources Management in Agriculture

dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorLobo Pereira, Fernando
dc.creatorFontes, Fernando ArmÉnio
dc.creatorFerreira, Maria Margarida
dc.creatorPinho, Maria Do RosÁrio
dc.creatorOliveira, Vilma Alves
dc.creatorCosta, Eduardo
dc.creatorSilva, Geraldo Nunes
dc.date2015-04-27T11:55:56Z
dc.date2016-10-25T20:46:47Z
dc.date2015-04-27T11:55:56Z
dc.date2016-10-25T20:46:47Z
dc.date2013
dc.date.accessioned2017-04-06T08:09:05Z
dc.date.available2017-04-06T08:09:05Z
dc.identifierConference Papers in Mathematics, v. 2013, p. 1-15, 2013.
dc.identifier2314-4777
dc.identifierhttp://hdl.handle.net/11449/122656
dc.identifierhttp://acervodigital.unesp.br/handle/11449/122656
dc.identifierhttp://dx.doi.org/10.1155/2013/769598
dc.identifierISSN2314-4777-2013-2013-01-15.pdf
dc.identifier3638688119433520
dc.identifierhttp://www.hindawi.com/journals/cpis/2013/769598/
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/933277
dc.descriptionAn 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.
dc.languageeng
dc.relationConference Papers in Mathematics
dc.rightsinfo:eu-repo/semantics/openAccess
dc.titleAn Optimal Control Framework for Resources Management in Agriculture
dc.typeOtro


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