Publicação
Recent developments in neural network PID autotuning
| dc.contributor.author | Ruano, Antonio | |
| dc.date.accessioned | 2013-02-02T11:38:42Z | |
| dc.date.available | 2013-02-02T11:38:42Z | |
| dc.date.issued | 1998 | |
| dc.date.updated | 2013-01-28T10:04:50Z | |
| dc.description.abstract | PID controllers are widely used in industrial applications. Because the plant can be time variant, methods of autotuning of this type of controllers, are of great economical importance, see (Astrom, 1996). Since 1942, with the work of Ziegler and Nichols (Ziegler and Nichols, 1942), several methods have been proposed in the literature. Recently, a new technique using neural networks was proposed (Ruano et al., 1992). This technique has been shown to produce good tunings as long as certain limitations are met. | pt_PT |
| dc.identifier.citation | Ruano, A. E. Recent Developments in Neural Network PID Autotuning, Trabalho apresentado em IMACS Int. Symposium on Soft Computing in Engineering Applications (Softcom’98), In IMACS Int. Symposium on Soft Computing in Engineering Applications (Softcom’98), Athens, 1998. | por |
| dc.identifier.other | AUT: ARU00698; | |
| dc.identifier.uri | http://hdl.handle.net/10400.1/2194 | |
| dc.language.iso | eng | por |
| dc.peerreviewed | yes | por |
| dc.title | Recent developments in neural network PID autotuning | por |
| dc.type | conference object | |
| dspace.entity.type | Publication | |
| oaire.citation.conferencePlace | Athens | por |
| oaire.citation.endPage | 13 | por |
| oaire.citation.startPage | 1 | por |
| oaire.citation.title | IMACS International Symposium on Soft Computing in Engineering Applications (Softcom’98) | por |
| person.familyName | Ruano | |
| person.givenName | Antonio | |
| person.identifier.orcid | 0000-0002-6308-8666 | |
| person.identifier.rid | B-4135-2008 | |
| person.identifier.scopus-author-id | 7004284159 | |
| rcaap.rights | restrictedAccess | por |
| rcaap.type | conferenceObject | por |
| relation.isAuthorOfPublication | 13813664-b68b-40aa-97a9-91481a31ebf2 | |
| relation.isAuthorOfPublication.latestForDiscovery | 13813664-b68b-40aa-97a9-91481a31ebf2 |