Title 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
SJR Quartile 3
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
Universidad Loyola members

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