A study on the Response Characteristics of Fuzzy Controller & Fuzzy Neural Network Controller


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 3, No. 6, pp. 1473-1482, Nov. 1996
10.3745/KIPSTE.1996.3.6.1473,   PDF Download:

Abstract

this study examines the response characteristics of the fuzzy controller and the fuzzy neural network controller. The former is excellent in terms of the overshoot at its initial values and has great advantages on the disturbance. But there exist some errors in its desired output. Many methods have been introduced that remove the errors of the desired state. This study is in more favor of the fuzzy neural network controller using the neural network than any other method. The fuzzy neural network controller complements the shortcomings of fuzzy controller and can be an accurate controller by being well-without any disturbance ir error-converged to the desired output. And it is through simulation that the comparison of the two controllers is carried out in this study.


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Cite this article
[IEEE Style]
K. H. Soo, L. S. Boo, K. H. Gi, "A study on the Response Characteristics of Fuzzy Controller & Fuzzy Neural Network Controller," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 3, no. 6, pp. 1473-1482, 1996. DOI: 10.3745/KIPSTE.1996.3.6.1473.

[ACM Style]
Kim Hyung Soo, Lee Sang Boo, and Kim Hong Gi. 1996. A study on the Response Characteristics of Fuzzy Controller & Fuzzy Neural Network Controller. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 3, 6, (1996), 1473-1482. DOI: 10.3745/KIPSTE.1996.3.6.1473.