Methodology for adapting the parameters of a fuzzy system using the extended Kalman filter
| Data(s) |
2011
|
|---|---|
| Resumo |
When we try to analyze and to control a system whose model was obtained only based on input/output data, accuracy is essential in the model. On the other hand, to make the procedure practical, the modeling stage must be computationally efficient. In this regard, this paper presents the application of extended Kalman filter for the parametric adaptation of a fuzzy model |
| Formato |
application/pdf |
| Identificador | |
| Idioma(s) |
eng |
| Publicador |
E.T.S.I. Industriales (UPM) |
| Relação |
http://oa.upm.es/12774/1/INVE_MEM_2011_107312.pdf http://www.atlantis-press.com/publications/aisr/eusflat-11/index_eusflat-11.html?http%3A//www.atlantis-press.com/php/paper-details.php%3Fid%3D2250 info:eu-repo/semantics/altIdentifier/doi/null |
| Direitos |
http://creativecommons.org/licenses/by-nc-nd/3.0/es/ info:eu-repo/semantics/openAccess |
| Fonte |
Proceedings of EUSFLAT-2011 and LFA-2011 | EUSFLAT-2011 and LFA-2011 | 18/07/2011 - 18/07/2011 | Aix-lesBains. France |
| Palavras-Chave | #Robótica e Informática Industrial |
| Tipo |
info:eu-repo/semantics/conferenceObject Ponencia en Congreso o Jornada PeerReviewed |
