Multirate adaptive temperature control of greenhouses

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dc.contributor.author Arvanitis, KG en
dc.contributor.author Paraskevopoulos, PN en
dc.contributor.author Vernardos, AA en
dc.date.accessioned 2014-03-01T01:15:43Z
dc.date.available 2014-03-01T01:15:43Z
dc.date.issued 2000 en
dc.identifier.issn 0168-1699 en
dc.identifier.uri http://hdl.handle.net/123456789/13686
dc.subject greenhouse climate en
dc.subject temperature control en
dc.subject sampled-data control en
dc.subject multirate sampling en
dc.subject identification en
dc.subject adaptive control en
dc.subject.classification Agriculture, Multidisciplinary en
dc.subject.classification Computer Science, Interdisciplinary Applications en
dc.subject.other POLE-PLACEMENT CONTROL en
dc.subject.other OUTPUT CONTROLLERS en
dc.subject.other LINEAR-SYSTEMS en
dc.subject.other PLANT OUTPUT en
dc.subject.other CLIMATE en
dc.subject.other MODEL en
dc.title Multirate adaptive temperature control of greenhouses en
heal.type journalArticle en
heal.identifier.primary 10.1016/S0168-1699(00)00082-X en
heal.identifier.secondary http://dx.doi.org/10.1016/S0168-1699(00)00082-X en
heal.language English en
heal.publicationDate 2000 en
heal.abstract A new adaptive technique is proposed for the control of the temperature in a greenhouse whose parameters vary with operating conditions. The proposed adaptive controllers are derived by solving either the pole-placement or the linear quadratic regulation (LQR) problem and use multirate controllers in which the greenhouse temperature is sampled many times over a fundamental sampling period. On the basis of the proposed control scheme, the problem is reduced to an associated discrete-time problem for which constant state feedback controllers are derived. Thus, the proposed technique essentially becomes one of computing a constant gain controller rather than one of deriving state observers or output feedback controllers, as in other indirect adaptive control techniques. As a consequence, the exogenous dynamics introduced in the control loop is of low order. Furthermore, the proposed adaptive controllers can be designed to possess any degree of stability, since their transition matrices can be chosen arbitrarily. The proposed scheme estimates the unknown parameters of the greenhouse on-line from sequential data on the greenhouse temperature and the heating power, which are recursively updated. Persistency of excitation of the controlled system is assured without making assumptions on the system under control, other than controllability, observability and known order. Simulation results of the greenhouse dynamics illustrate the effectiveness of the proposed scheme. (C) 2000 Elsevier Science B.V. All rights reserved. en
heal.publisher ELSEVIER SCIENCE BV en
dc.identifier.doi 10.1016/S0168-1699(00)00082-X en
dc.identifier.isi ISI:000087274100007 en
dc.identifier.volume 26 en
dc.identifier.issue 3 en
dc.identifier.spage 303 en
dc.identifier.epage 320 en

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