Referenced Items are not available for this document.
Fuzzy control is a human-imitating control technique which is independent of the mathematical model of plants. It utilizes priori knowledge to carry out approximate reasoning. However, it lacks the abilities of self-tuning or self-learning in industrial applications. The temperature control process of an oil-burning tunnel kiln is a multivariable and nonlinear dynamic system. This paper presents a fuzzy neural network control strategy which is able to enhance the capacity of self-learning of fuzzy control rules, based on the self-learning ability of neural networks. Simulation research and a physical analog experiment prove the feasibility of this control strategy
Published in:
Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on
(Volume:1
)
Date of Conference: 28-31 Oct 1997
- Page(s):
- 512 - 516 vol.1
- Meeting Date :
- 28 Oct 1997-31 Oct 1997
- Print ISBN:
- 0-7803-4253-4
- INSPEC Accession Number:
- 5927187
- Conference Location :
- Beijing
- Digital Object Identifier :
- 10.1109/ICIPS.1997.672835
- Product Type:
- Conference Publications
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