| Título |
Fuzzy Model Based Predictive Control of Reaction Temperature in a Pilot Plant |
| Autores |
ESCAÑO GONZÁLEZ, JUAN MANUEL, Witheephanich, Kritchai , Bordons, Carlos |
| Publicación externa |
No |
| Medio |
Adv. Intell. Sys. Comput. |
| Alcance |
Proceedings Paper |
| Naturaleza |
Científica |
| Cuartil SJR |
3 |
| Impacto SJR |
0.17400 |
| Web |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029431196&doi=10.1007%2f978-3-319-66824-6_1&partnerID=40&md5=b9aedaa91edc435ad83f4ed4ccab5ec4 |
| Fecha de publicacion |
01/01/2018 |
| ISI |
000432807900001 |
| Scopus Id |
2-s2.0-85029431196 |
| DOI |
10.1007/978-3-319-66824-6_1 |
| Abstract |
A fuzzy model with reduced complexity has been developed to capture the nonlinear dynamics of a pilot plant in which the temperature of a reactor is controlled. The use of Functional Principal Component Analysis provides an ability to reduce the complexity of the model permitting the application of linear MPC for the nonlinear control problem. |
| Palabras clave |
Fuzzy Model Predictive Control; Functional Principal Component Analysis; Fuzzy Dynamic Models |
| Miembros de la Universidad Loyola |
|
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