Wj. Tao et H. Burkhardt, VISION-GUIDED FLAME CONTROL USING FUZZY-LOGIC AND NEURAL NETWORKS, Particle & particle systems characterization, 12(2), 1995, pp. 87-94
Citations number
8
Categorie Soggetti
Materials Science, Characterization & Testing","Engineering, Chemical
This paper presents an application of fuzzy and neural network techniq
ues to a vision-guided closed loop control for stationary luminous fla
mes. The image processing technique is used to analyze and identify th
e process states. Fuzzy control strategy avoids the difficulty in esta
blishing a mathematical model for an ill-defined process. Expert knowl
edge and training patterns can be incorporated into fuzzy rules, which
are represented in the form of neurons. The use of a neural network m
akes it easy to increase the number of control parameters and provides
the system the possibility to adjust its performance automatically.