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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/21617

Title: Adaptive neuro-controller design based on MLP network
Authors: Norhayati, Mohd Noor
A. S., Hashim
Mohd Yusoff, Mashor, Prof. Dr.
Siti Maryam, Sharun
Azian Azamimi, Abdullah
???metadata.dc.contributor.url???: yati_yasin@yahoo.com
Keywords: Back Propagation (BP) algorithm;Adaptive Neuro-Controller (ANC);Recursive Least Square (RLS);Adaptive system
Issue Date: 16-Oct-2010
Publisher: Universiti Malaysia Perlis (UniMAP)
???metadata.dc.publisher.department???: Centre for Graduate Studies
Series/Report no.: Proceedings of the International Postgraduate Conference on Engineering (IPCE 2010)
Abstract: 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.
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.
URI: http://hdl.handle.net/123456789/21617
ISBN: 978-967-5760-03-7
Appears in Collections:Azian Azamimi Abdullah
Conference Papers
Mohd Yusoff Mashor, Prof. Dr.

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