作者
Yesim Oniz, Erdal Kayacan, Ayse Cisel Aras, Okyay Kaynak, Rahib Abiyev
发表日期
2010/11/7
研讨会论文
IECON 2010-36th Annual Conference on IEEE Industrial Electronics Society
页码范围
35-40
出版商
IEEE
简介
A type-2 fuzzy neural system (T2FNS) is proposed in this paper for process control. The structure of the system is presented and the rules for updating its parameters are derived using the gradient algorithm. The effectiveness of the proposed approach is evaluated on a laboratory setup that regulates the speed of a DC motor and the experimental results are compared with those obtained with the use of a type-1 fuzzy neural system (T1FNS). It is seen that T2FNS results in reduced oscillations around the set point in the presence of load disturbances.
学术搜索中的文章
Y Oniz, E Kayacan, AC Aras, O Kaynak, R Abiyev - IECON 2010-36th Annual Conference on IEEE …, 2010