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VisionGuided Flame Control Using Fuzzy Logic and Neural Networks
 

Summary: Vision­Guided Flame Control Using Fuzzy Logic and
Neural Networks
Wenjing Tao \Lambda and Hans Burkhardt \Lambda
Received ...
\Lambda Dipl.­Ing. Wenjing Tao and Prof. Dr.­Ing. Hans Burkhardt are with Technische Informatik I,
Technische Universit¨at Hamburg­Harburg, Harburger Schloßstr. 20, 21071 Hamburg, Germany
1

Abstract
This paper presents an application of fuzzy and neural network techniques
to a vision­guided closed loop control for stationary luminous flames. The
image processing technique is used to analyze and identify the process states.
Fuzzy control strategy avoids the difficulty in establishing a mathematical
model for an ill­defined process. Expert knowledge and training patterns can
be incorporated into fuzzy rules, which are represented in the form of neurons.
The use of a neural network makes it easy to increase the number of control
parameters and provides the system the possibility to adjust its performance
automatically.
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Source: Albert-Ludwigs-Universität Freiburg, Institut für Informatik,, Lehrstuhls für Mustererkennung und Bildverarbeitung

 

Collections: Computer Technologies and Information Sciences