Publicação
A neural network PID autotuner
| dc.contributor.author | Ruano, Antonio | |
| dc.contributor.author | Lima, João | |
| dc.contributor.author | Mamat, R. | |
| dc.contributor.author | Fleming, P. J. | |
| dc.date.accessioned | 2013-02-13T09:05:31Z | |
| dc.date.available | 2013-02-13T09:05:31Z | |
| dc.date.issued | 1995 | |
| dc.date.updated | 2013-01-28T16:03:51Z | |
| dc.description.abstract | Proportional, Integral and Derivative (PID) regulators are standard building blocks for industrial automation. Their popularity comes from their rebust performance and also from their functional simplicity. Whether because the plant is time-varying, or because of components ageing, these controllers need to be regularly retuned. | pt_PT |
| dc.identifier.citation | Ruano, A. E.; Lima, J. M. G.; Mamat, R.; Fleming, P. J. A Neural Network PID Autotuner, Trabalho apresentado em Int. Conf. on Engineering Applications of Neural Networks (EANN’95), In Int. Conf. on Engineering Applications of Neural Networks (EANN’95), Helsinki, 1995. | por |
| dc.identifier.other | AUT: ARU00698; JLI00543; | |
| dc.identifier.uri | http://hdl.handle.net/10400.1/2325 | |
| dc.language.iso | eng | por |
| dc.peerreviewed | yes | por |
| dc.title | A neural network PID autotuner | por |
| dc.type | conference object | |
| dspace.entity.type | Publication | |
| oaire.citation.conferencePlace | Helsinki | por |
| oaire.citation.endPage | 170 | por |
| oaire.citation.startPage | 167 | por |
| oaire.citation.title | International Conference on Engineering Applications of Neural Networks (EANN’95) | por |
| person.familyName | Ruano | |
| person.familyName | Lima | |
| person.givenName | Antonio | |
| person.givenName | João | |
| person.identifier.ciencia-id | F319-672D-5416 | |
| person.identifier.orcid | 0000-0002-6308-8666 | |
| person.identifier.orcid | 0000-0003-3561-4267 | |
| person.identifier.rid | B-4135-2008 | |
| person.identifier.scopus-author-id | 7004284159 | |
| rcaap.rights | restrictedAccess | por |
| rcaap.type | conferenceObject | por |
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