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

被引：0

作者：

Manuel Escano, Juan ^{[1
]}

Witheephanich, Kritchai ^{[2
]}

Bordons, Carlos ^{[3
]}

机构：

[1] Univ Loyola Andalucia, Seville, Spain

[2] Cork Inst Technol, Nimbus Ctr, Cork, Ireland

[3] Univ Seville, Seville, Spain

来源：

ADVANCES IN FUZZY LOGIC AND TECHNOLOGY 2017, VOL 2 | 2018年 / 642卷

关键词：

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

D O I：

10.1007/978-3-319-66824-6_1

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：1 / 11

页数：11

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