| dc.contributor.author |
Sigrimis, N |
en |
| dc.contributor.author |
Rerras, N |
en |
| dc.date.accessioned |
2014-06-06T06:43:09Z |
|
| dc.date.available |
2014-06-06T06:43:09Z |
|
| dc.date.issued |
1996 |
en |
| dc.identifier.issn |
00012351 |
en |
| dc.identifier.uri |
http://62.217.125.90/xmlui/handle/123456789/1042 |
|
| dc.relation.uri |
http://www.scopus.com/inward/record.url?eid=2-s2.0-0029679282&partnerID=40&md5=0d657c599b4f12c9699519e2aa3ba807 |
en |
| dc.subject |
Greenhouse |
en |
| dc.subject |
Identification |
en |
| dc.subject |
Model |
en |
| dc.subject.other |
Forecasting |
en |
| dc.subject.other |
Identification (control systems) |
en |
| dc.subject.other |
Linear control systems |
en |
| dc.subject.other |
Optimal control systems |
en |
| dc.subject.other |
Greenhouse control |
en |
| dc.subject.other |
Greenhouses |
en |
| dc.title |
A linear model for greenhouse control |
en |
| heal.type |
journalArticle |
en |
| heal.publicationDate |
1996 |
en |
| heal.abstract |
A linear model structure to track and predict greenhouse behavior as a Multi-Input-Multi-Output (MIMO) system and allow for optimized control, has been developed and tested. Deterministic disturbances are handled as uncontrollable inputs, persistently exciting conditions are identified and on-line parameter estimation is investigated. Model inaccuracies, due to physical system nonlinearities, were found to be minimal and the model holds sufficient accuracy for large excursions in the state space. Parameter estimate errors, due to system noise, were evaluated by introducing noise sources to all inputs and outputs. © 1996 American Society of Agricultural Engineers. |
en |
| heal.journalName |
Transactions of the American Society of Agricultural Engineers |
en |
| dc.identifier.issue |
1 |
en |
| dc.identifier.volume |
39 |
en |
| dc.identifier.spage |
253 |
en |
| dc.identifier.epage |
261 |
en |