Comparison of intelligent control schemes for real-time pressure control

被引：29

作者：

Babuska, R ^{[1
]}

teBraake, HAB ^{[1
]}

vanCan, HJL ^{[1
]}

Krijgsman, AJ ^{[1
]}

Verbruggen, HB ^{[1
]}

机构：

[1] DELFT UNIV TECHNOL,KLUYVER LAB BIOTECHNOL,NL-2628 BC DELFT,NETHERLANDS

来源：

CONTROL ENGINEERING PRACTICE | 1996年 / 4卷 / 11期

关键词：

fuzzy control; predictive control; fuzzy modeling; neural modeling; identification;

D O I：

10.1016/0967-0661(96)00174-8

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Direct fuzzy control of the Mamdani type, fuzzy supervised PI control and predictive control based on fuzzy and neural models were applied to a nonlinear pressure process. The main goal of this study is to compare these different control concepts in terms of the development time, the type and amount of prior information needed for the controller design, the tuning requirements and the closed-loop performance.

引用

页码：1585 / 1592

页数：8

共 11 条

[1]

ALI S, 1995, P 14 EUR ANN C HUM D

[2]

Babuska R., 1995, Proceedings of the Third European Control Conference. ECC 95, P1207

[3]

BABUSKA R, 1993, P IMACS C MIMS 2 93

[4] UNIVERSAL APPROXIMATION BOUNDS FOR SUPERPOSITIONS OF A SIGMOIDAL FUNCTION [J].