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

Authors

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

External publication

No

Means

Adv. Intell. Sys. Comput.

Scope

Proceedings Paper

Nature

Científica

JCR Quartile

✗

SJR Quartile

✗

SJR Impact

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

Publication date

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.

Keywords

Fuzzy Model Predictive Control; Functional Principal Component Analysis; Fuzzy Dynamic Models