Performance monitoring of closed-loop controlled systems using dFasArt

被引：0

作者：

Manuel Cano-Izquierdo, Jose ^{[1
]}

Ibarrola, Julio ^{[1
]}

Almonacid, Miguel ^{[1
]}

机构：

[1] Tech Univ Cartagena, Dept Syst Engn & Automat Control, Campus Muralla Mar, Murcia 30202, Spain

来源：

NATURE INSPIRED PROBLEM-SOLVING METHODS IN KNOWLEDGE ENGINEERING, PT 2, PROCEEDINGS | 2007年 / 4528卷

关键词：

dFasArt; neuro-fuzzy; temporal analysis; closed-loop systems;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper analyzes the behaviour of closed-loop controlled systems. Starting from the measured data, the aim is to establish a classification of the system operation states. Digital Signal Processing is used to represent temporal signal with spatial patterns. A neuro-fuzzy scheme (dFasArt) is proposed to classify these patterns, in an on-line way, characterizing the state of controller performance. A real scale plant has been used to carry out several experiments with good results.

引用

页码：45 / +

页数：2

共 7 条

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