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Intelligent non-linear modelling of an industrial winding process using recurrent local linear neuro-fuzzy networks
- Intelligent non-linear modelling of an industrial winding process using recurrent local linear neuro-fuzzy networks
- Frontiers of Information Technology & Electronic Engineering Vol. 13, Issue 6, Pages: 403-412(2012)
- Affiliations：
Department of Mechatronics, Faculty of Engineering, Islamic Azad University, Science and Research Branch, Tehran, Iran
- Author bio：
[ "Hasan ABBASI NOZARI, E-mail: nozari.amirali@gmail.com" ]
[ "Hamed DEHGHAN BANADAKI, E-mail: hmd.dehghan@gmail.com" ]
[ "Mohammad MOKHTARE, E-mail: m.mokhtare@srbiau.ac.ir" ]
[ "Somayeh HEKMATI VAHED, E-mail: s.hekmati@srbiau.ac.ir" ]
- Funds：
DOI：10.1631/jzus.C11a0278
CLC： TP183Received：17 October 2011，
Revised：2012-;4-;9，
Published：2012-06
- Accepted：
Scan QR Code
Hasan ABBASI NOZARI, Hamed DEHGHAN BANADAKI, Mohammad MOKHTARE, et al. Intelligent non-linear modelling of an industrial winding process using recurrent local linear neuro-fuzzy networks[J]. Frontiers of Information Technology & Electronic Engineering, 2012, 13(6): 403-412.
Hasan ABBASI NOZARI, Hamed DEHGHAN BANADAKI, Mohammad MOKHTARE, et al. Intelligent non-linear modelling of an industrial winding process using recurrent local linear neuro-fuzzy networks[J]. Frontiers of Information Technology & Electronic Engineering, 2012, 13(6): 403-412. DOI： 10.1631/jzus.C11a0278.
摘要
Abstract
This study deals with the neuro-fuzzy (NF) modelling of a real industrial winding process in which the acquired NF model can be exploited to improve control performance and achieve a robust fault-tolerant system. A new simulator model is proposed for a winding process using non-linear identification based on a recurrent local linear neuro-fuzzy (RLLNF) network trained by local linear model tree (LOLIMOT)
which is an incremental tree-based learning algorithm. The proposed NF models are compared with other known intelligent identifiers
namely multilayer perceptron (MLP) and radial basis function (RBF). Comparison of our proposed non-linear models and associated models obtained through the least square error (LSE) technique (the optimal modelling method for linear systems) confirms that the winding process is a non-linear system. Experimental results show the effectiveness of our proposed NF modelling approach.
关键词
Keywords
references
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