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Greenhouse air temperature optimal fuzzy controller

dc.contributor.authorSalgado, Paulo
dc.contributor.authorIgrejas, Getúlio
dc.contributor.authorCunha, José Boaventura
dc.date.accessioned2010-11-09T16:10:41Z
dc.date.available2010-11-09T16:10:41Z
dc.date.issued2008
dc.description.abstractA new scheme of fuzzy optimal control for the temperature of an Agriculture Greenhouse is presented. The proposed method is based on the Pontryagin’s Minimum Principle (PMP) that is used to train an adaptive fuzzy inference system to estimate values for the optimal co-state variables. This work shows that it is possible to successfully control a greenhouse by using these techniques. A method is presented to control the greenhouse air temperature achieving significant energy savings by minimizing a quadratic performance index selected for the desired operating conditions. This approach allows finding a solution to the optimal control problem on-line by training the system, which can be used on a closedloop control strategy. Successful simulations results for the controlled system are presented.por
dc.identifier.citationSalgado, Paulo; Igrejas, Getúlio; Cunha , José Boaventura (2008). Greenhouse air temperature optimal fuzzy controller. In 8th Portuguese Conference on Automatic Control. Vila Realpor
dc.identifier.urihttp://hdl.handle.net/10198/2762
dc.language.isoengpor
dc.subjectOptimalpor
dc.subjectControlpor
dc.subjectFuzzypor
dc.titleGreenhouse air temperature optimal fuzzy controllerpor
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferencePlaceVila Realpor
oaire.citation.endPage960por
oaire.citation.startPage954por
oaire.citation.title8th Portuguese Conference on Automatic Controlpor
person.familyNameIgrejas
person.givenNameGetúlio
person.identifier.orcid0000-0002-6820-8858
person.identifier.ridM-8571-2013
person.identifier.scopus-author-id47761255900
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublicationab4092ec-d1b1-4fe0-b65a-efba1310fd5a
relation.isAuthorOfPublication.latestForDiscoveryab4092ec-d1b1-4fe0-b65a-efba1310fd5a

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