@inproceedings{a20ea90da4f34d35877e0d986f00a7b7,
title = "Interval type-2 fuzzy neural network for ball and beam systems",
abstract = "An interval type-2 fuzzy neural network (IT2FNN) is developed for the position control of ball-and-beam systems to confront the noise. A T2FNN consists of a type-2 fuzzy linguistic process as the antecedent part and multi-layer neural network as the consequent part. The developed IT2FNN combines the merits of an interval type-2 fuzzy logic system and a neural network. Furthermore, the parameter-learning of the IT2FNN, which is based on the gradient decent method using adaptation law, is performed on line. Simulation results show that the dynamic behaviors of the proposed IT2FNN control system are more effective and robust with regard to uncertainties than the interval type-2 fuzzy logic control scheme.",
keywords = "Ball and beam system, Interval type-2 fuzzy neural network",
author = "Chan, {Wei Shou} and Lee, {Chun Yi} and Chang, {Chia Wen} and Chang, {Yeong Hwa}",
year = "2010",
doi = "10.1109/ICSSE.2010.5551760",
language = "英语",
isbn = "9781424464746",
series = "2010 International Conference on System Science and Engineering, ICSSE 2010",
pages = "315--320",
booktitle = "2010 International Conference on System Science and Engineering, ICSSE 2010",
note = "2010 International Conference on System Science and Engineering, ICSSE 2010 ; Conference date: 01-07-2010 Through 03-07-2010",
}