Simultaneous Computation of Model Order and Parameter Estimation for Arx Model Based on Multiswarm Particle Swarm Optimization

Kamil Zakwan, Mohd Azmi and Zuwairie, Ibrahim (2015) Simultaneous Computation of Model Order and Parameter Estimation for Arx Model Based on Multiswarm Particle Swarm Optimization. ARPN Journal of Engineering and Applied Sciences, 10 (22). pp. 17191-17196. ISSN 1819-6608. (Published)

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Abstract

Simultaneous Model Order and Parameter Estimation (SMOPE) is a method of utilizing meta-heuristic algorithm to iteratively determine an optimal model order and parameters simultaneously for an unknown system. SMOPE was originally introduced using Particle Swarm Optimization (PSO). However, the performance was worse than conventional ARX. Hence, the objective of this paper is to introduce a new computational model of the SMOPE which employs multiswarm strategy in original SMOPE to diversify the search moves of meta-heuristic algorithm when searching for the best mathematical model. Experiments are performed on six system identification problems. The obtained results prove that incorporating the multi-swarm approach is a good idea to improve original SMOPE.

Item Type:	Article
Uncontrolled Keywords:	particle swarm optimization, multi-swarm, system identification, model order selection and parameter estimation
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division:	Faculty of Electrical & Electronic Engineering
Depositing User:	Mrs. Neng Sury Sulaiman
Date Deposited:	07 Apr 2016 06:34
Last Modified:	08 Feb 2018 01:43
URI:	http://umpir.ump.edu.my/id/eprint/11869
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