Adaptive neuro-controller design based on MLP network
International Postgraduate Conference On Engineering (IPCE 2010), 16th - 17th October 2010 organized by Centre for Graduate Studies, Universiti Malaysia Perlis (UniMAP) at School of Mechatronic Engineering, Pauh Putra Campus, Perlis, Malaysia.
Saved in:
| Main Authors: | , , , , |
|---|---|
| 其他作者: | |
| 格式: | Working Paper |
| 語言: | English |
| 出版: |
Universiti Malaysia Perlis (UniMAP)
2012
|
| 主題: | |
| 在線閱讀: | http://dspace.unimap.edu.my/xmlui/handle/123456789/21617 |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
| id |
my.unimap-21617 |
|---|---|
| record_format |
dspace |
| spelling |
my.unimap-216172012-11-05T07:59:06Z Adaptive neuro-controller design based on MLP network Norhayati, Mohd Noor A. S., Hashim Mohd Yusoff, Mashor, Prof. Dr. Siti Maryam, Sharun Azian Azamimi, Abdullah yati_yasin@yahoo.com Back Propagation (BP) algorithm Adaptive Neuro-Controller (ANC) Recursive Least Square (RLS) Adaptive system International Postgraduate Conference On Engineering (IPCE 2010), 16th - 17th October 2010 organized by Centre for Graduate Studies, Universiti Malaysia Perlis (UniMAP) at School of Mechatronic Engineering, Pauh Putra Campus, Perlis, Malaysia. Back Propagation (BP) algorithm is the most commonly used algorithm for training artificial neural networks. But, it suffers from extensive computations, relatively slow convergence speed and possible divergence for certain conditions. The main objective of this paper was to compare the performance of BP algorithm and Recursive Least Square (RLS) algorithm for Adaptive Neuro-Controller (ANC). These algorithms are used to update the parameter of the ANC. A neural network model, called Multi Layered Perceptron (MLP) network is used for this ANC. The Model Reference Adaptive Control (MRAC) is used to generate the desired output path and to ensure the output of the controlled system follows the output of reference model. In this paper, the comparison between two algorithms is based on the convergence speed and robustness of the controller. These controllers have been tested using a linear and a nonlinear plant with several varying operating conditions. The simulation results show that RLS algorithm have better performance compared to BP algorithm. 2012-11-05T07:59:05Z 2012-11-05T07:59:05Z 2010-10-16 Working Paper 978-967-5760-03-7 http://hdl.handle.net/123456789/21617 en Proceedings of the International Postgraduate Conference on Engineering (IPCE 2010) Universiti Malaysia Perlis (UniMAP) Centre for Graduate Studies |
| institution |
Universiti Malaysia Perlis |
| building |
UniMAP Library |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Malaysia Perlis |
| content_source |
UniMAP Library Digital Repository |
| url_provider |
http://dspace.unimap.edu.my/ |
| language |
English |
| topic |
Back Propagation (BP) algorithm Adaptive Neuro-Controller (ANC) Recursive Least Square (RLS) Adaptive system |
| spellingShingle |
Back Propagation (BP) algorithm Adaptive Neuro-Controller (ANC) Recursive Least Square (RLS) Adaptive system Norhayati, Mohd Noor A. S., Hashim Mohd Yusoff, Mashor, Prof. Dr. Siti Maryam, Sharun Azian Azamimi, Abdullah Adaptive neuro-controller design based on MLP network |
| description |
International Postgraduate Conference On Engineering (IPCE 2010), 16th - 17th October 2010 organized by Centre for Graduate Studies, Universiti Malaysia Perlis (UniMAP) at School of Mechatronic Engineering, Pauh Putra Campus, Perlis, Malaysia. |
| author2 |
yati_yasin@yahoo.com |
| author_facet |
yati_yasin@yahoo.com Norhayati, Mohd Noor A. S., Hashim Mohd Yusoff, Mashor, Prof. Dr. Siti Maryam, Sharun Azian Azamimi, Abdullah |
| format |
Working Paper |
| author |
Norhayati, Mohd Noor A. S., Hashim Mohd Yusoff, Mashor, Prof. Dr. Siti Maryam, Sharun Azian Azamimi, Abdullah |
| author_sort |
Norhayati, Mohd Noor |
| title |
Adaptive neuro-controller design based on MLP network |
| title_short |
Adaptive neuro-controller design based on MLP network |
| title_full |
Adaptive neuro-controller design based on MLP network |
| title_fullStr |
Adaptive neuro-controller design based on MLP network |
| title_full_unstemmed |
Adaptive neuro-controller design based on MLP network |
| title_sort |
adaptive neuro-controller design based on mlp network |
| publisher |
Universiti Malaysia Perlis (UniMAP) |
| publishDate |
2012 |
| url |
http://dspace.unimap.edu.my/xmlui/handle/123456789/21617 |
| _version_ |
1643793415329021952 |
| score |
13.251813 |