Publicaciones

Autores

ESCAÑO GONZÁLEZ, JUAN MANUEL, Witheephanich, Kritchai , Bordons, Carlos

Publicación externa

No

Medio

Adv. Intell. Sys. Comput.

Alcance

Proceedings Paper

Naturaleza

Científica

Cuartil JCR

✗

Cuartil SJR

✗

Impacto SJR

0.174

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

Fuzzy Model Based Predictive Control of Reaction Temperature in a Pilot Plant