DocumentCode :
294482
Title :
An on-line information processing method for intelligent control systems
Author :
Chen, Minyou ; Linkens, D.A.
Author_Institution :
Dept. of Automat. Control & Syst. Eng., Sheffield Univ., UK
Volume :
1
fYear :
1995
fDate :
13-15 Dec 1995
Firstpage :
745
Abstract :
An on-line information processing method, called characteristics recognition (CR), which is based on symbolic manipulation, phase-plane analysis and fuzzy classification is proposed for complex process control systems in which there are no reasonable mathematical models available. Emulating human decision processes which apply on-line characteristic information to solve complex control problems, this paper presents an alternative to extract and recognise the characteristic patterns which can capture system behaviour features and monitor control performance without prior process model. The key ideas, performance feature analysis in normalised phase-plane, characteristic pattern classification and recognition method are discussed in this paper
Keywords :
intelligent control; pattern classification; process control; symbol manipulation; characteristics recognition; complex process control systems; fuzzy classification; human decision process; intelligent control systems; online information processing method; pattern classification; phase-plane analysis; symbolic manipulation; system behaviour features; Character recognition; Chromium; Fuzzy control; Fuzzy systems; Information analysis; Information processing; Intelligent control; Mathematical model; Pattern recognition; Process control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1995., Proceedings of the 34th IEEE Conference on
Conference_Location :
New Orleans, LA
ISSN :
0191-2216
Print_ISBN :
0-7803-2685-7
Type :
conf
DOI :
10.1109/CDC.1995.479069
Filename :
479069
Link To Document :
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