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.
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页码：67 / 72
页数：6
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