Model reference adaptive control based on MLP network for dynamic system

1st Regional Conference on Applied and Engineering Mathematics (RCAEM-I) 2010 organized by Universiti Malaysia Perlis (UniMAP) and co-organized by Universiti Sains Malaysia (USM) & Universiti Kebangsaan Malaysia (UKM), 2nd - 3rd June 2010 at Eastern & Oriental Hotel, Penang.

Saved in:

Bibliographic Details
Main Authors:	Norhayati, Mohd Noor, Mohd Yusoff, Mashor, Siti Maryam, Sharun, Wan Nur Hadani, Soh, Waren
Other Authors:	yati_yasin@yahoo.com
Format:	Working Paper
Language:	English
Published:	Universiti Malaysia Perlis (UniMAP) 2010
Subjects:	Multi Layered Perceptron Recursive Least Square Model Reference Adaptive Control Regional Conference on Applied and Engineering Mathematics (RCAEM)
Online Access:	http://dspace.unimap.edu.my/xmlui/handle/123456789/10263
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Universiti Malaysia Perlis
Language:	English

id	my.unimap-10263
record_format	dspace
spelling	my.unimap-102632010-11-23T03:40:33Z Model reference adaptive control based on MLP network for dynamic system Norhayati, Mohd Noor Mohd Yusoff, Mashor Siti Maryam, Sharun Wan Nur Hadani Soh, Waren yati_yasin@yahoo.com hadani@unimap.edu.my Multi Layered Perceptron Recursive Least Square Model Reference Adaptive Control Regional Conference on Applied and Engineering Mathematics (RCAEM) 1st Regional Conference on Applied and Engineering Mathematics (RCAEM-I) 2010 organized by Universiti Malaysia Perlis (UniMAP) and co-organized by Universiti Sains Malaysia (USM) & Universiti Kebangsaan Malaysia (UKM), 2nd - 3rd June 2010 at Eastern & Oriental Hotel, Penang. This paper presents the Model Reference Adaptive Control based on Multi Layered Perceptron (MLP) Network. The error between the output of the plant and the reference model is used to adapt the controller parameters. The Reference Model Adaptive Control (MRAC) will be used to control a time varying system where the performance specifications are given in terms of a reference model. The MLP is used for function approximation and its weights can be adjusted to model any function up to certain accuracy from input to output using the Recursive Least Square (RLS) algorithm. Simulation results show that the controller is adequate to control the system with unpredictable conditions and disturbances. 2010-11-23T03:40:33Z 2010-11-23T03:40:33Z 2010-06-02 Working Paper Vol.1(18), p.115-119 http://hdl.handle.net/123456789/10263 en Proceedings of the 1st Regional Conference on Applied and Engineering Mathematics (RCAEM-I) 2010 Universiti Malaysia Perlis (UniMAP) Institut Matematik Kejuruteraan
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	Multi Layered Perceptron Recursive Least Square Model Reference Adaptive Control Regional Conference on Applied and Engineering Mathematics (RCAEM)
spellingShingle	Multi Layered Perceptron Recursive Least Square Model Reference Adaptive Control Regional Conference on Applied and Engineering Mathematics (RCAEM) Norhayati, Mohd Noor Mohd Yusoff, Mashor Siti Maryam, Sharun Wan Nur Hadani Soh, Waren Model reference adaptive control based on MLP network for dynamic system
description	1st Regional Conference on Applied and Engineering Mathematics (RCAEM-I) 2010 organized by Universiti Malaysia Perlis (UniMAP) and co-organized by Universiti Sains Malaysia (USM) & Universiti Kebangsaan Malaysia (UKM), 2nd - 3rd June 2010 at Eastern & Oriental Hotel, Penang.
author2	yati_yasin@yahoo.com
author_facet	yati_yasin@yahoo.com Norhayati, Mohd Noor Mohd Yusoff, Mashor Siti Maryam, Sharun Wan Nur Hadani Soh, Waren
format	Working Paper
author	Norhayati, Mohd Noor Mohd Yusoff, Mashor Siti Maryam, Sharun Wan Nur Hadani Soh, Waren
author_sort	Norhayati, Mohd Noor
title	Model reference adaptive control based on MLP network for dynamic system
title_short	Model reference adaptive control based on MLP network for dynamic system
title_full	Model reference adaptive control based on MLP network for dynamic system
title_fullStr	Model reference adaptive control based on MLP network for dynamic system
title_full_unstemmed	Model reference adaptive control based on MLP network for dynamic system
title_sort	model reference adaptive control based on mlp network for dynamic system
publisher	Universiti Malaysia Perlis (UniMAP)
publishDate	2010
url	http://dspace.unimap.edu.my/xmlui/handle/123456789/10263
_version_	1643789781677637632

Model reference adaptive control based on MLP network for dynamic system

Similar Items