Publication
Comparison of off-line and on-line performance of alternative neural network models
| dc.contributor.author | Lima, João | |
| dc.contributor.author | Ruano, Antonio | |
| dc.date.accessioned | 2013-01-31T11:12:35Z | |
| dc.date.available | 2013-01-31T11:12:35Z | |
| dc.date.issued | 2000 | |
| dc.date.updated | 2013-01-28T09:33:55Z | |
| dc.description.abstract | The Proportional Integral and Derivative (PID) controller is often used in industrial applications due to its functional simplicity and robust performance. Autotuning methods for these simple controllers are economically important. In order to accomplish this auto tuning in real time, without perturbing the closed-loop operation, models of criteria that are intended to be optimised are needed. In this paper, the ITAE criterion will be employed, as responses obtained with this criterion are well damped. In this paper neural networks are proposed as tools that allow these kinds of mappings. To improve the autotuner performance in a continuous operation, these models should be updated online. This way, the corresponding neural networks, after being trained off-line should be adapted on-line in real time. In the present work, the off-line and on-line performances of Multi-layer Perceptrons (MLPs), Radial Basis Function (RBFs) and Basis-Spline neural networks (B-splines), are analysed and compared. | por |
| dc.identifier.citation | Lima, J. M. G.; Ruano, A. E. Comparison of off-line and on-line performance of alternative neural network models, Trabalho apresentado em Information Processing and Management of Uncertainity in Knowledge Based Systems (IPMU 2000), In Information Processing and Management of Uncertainity in Knowledge Based Systems (IPMU 2000), Madrid, 2000. | por |
| dc.identifier.other | AUT: JLI00543; ARU00698; | |
| dc.identifier.uri | http://hdl.handle.net/10400.1/2159 | |
| dc.language.iso | eng | por |
| dc.peerreviewed | yes | por |
| dc.subject | On-line learning | por |
| dc.subject | Neural Networks | por |
| dc.subject | PID autotuning | por |
| dc.title | Comparison of off-line and on-line performance of alternative neural network models | por |
| dc.type | conference object | |
| dspace.entity.type | Publication | |
| oaire.citation.conferencePlace | Madrid | por |
| oaire.citation.endPage | 8 | por |
| oaire.citation.startPage | 1 | por |
| oaire.citation.title | Information Processing and Management of Uncertainity in Knowledge Based Systems (IPMU 2000) | por |
| person.familyName | Lima | |
| person.familyName | Ruano | |
| person.givenName | João | |
| person.givenName | Antonio | |
| person.identifier.ciencia-id | F319-672D-5416 | |
| person.identifier.orcid | 0000-0003-3561-4267 | |
| 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 | d96029c0-7218-497d-978c-fc61b85d1fb2 | |
| relation.isAuthorOfPublication | 13813664-b68b-40aa-97a9-91481a31ebf2 | |
| relation.isAuthorOfPublication.latestForDiscovery | d96029c0-7218-497d-978c-fc61b85d1fb2 |