On learning control in industrial furnaces and boilers

被引：3

作者：

Dimirovski, GM ^{[1
]}

Dourado, A ^{[1
]}

Gough, NE ^{[1
]}

Ribeiro, B ^{[1
]}

Stankovski, MJ ^{[1
]}

Ting, IH ^{[1
]}

Tulunay, E ^{[1
]}

机构：

[1] SS Cyril & Methodius Univ, Fac E Eng, ASE Dept, MK-91000 Skopje, Macedonia

来源：

PROCEEDINGS OF THE 2000 IEEE INTERNATIONAL SYMPOSIUM ON INTELLIGENT CONTROL | 2000年

关键词：

thermal system uncertainties; learning control and supervision; neural nets; fuzzy-neural nets; fuzzy-Petri-nets;

D O I：

10.1109/ISIC.2000.882901

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents some novel contributions to the integrated learning control and supervision of industrial thermal systems such as furnaces and boilers. Three novel application case-studies have enabled to demonstrate practical feasibility and efficiency of the learning control and supervision approach in thermal systems automation. This approach provides for a methodology for solving the problem of process identification, control and supervision for complex, multi-variable, thermal plants within a time-domain setting and by using recorded, operating time series and/or rough, non-parametric process models.

引用

页码：67 / 72

页数：6

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