Simultaneous Model Order and Parameter Estimation (SMOPE) based on Random Asynchronous Particle Swarm Optimization

  • Nor Azlina Ab. Aziz
  • Nor Hidayati Abd Aziz
  • Tasiransurini Ab Rahman
  • Norrima Mokhtar
  • Marizan Mubin
Keywords: SMOPE, PSO, Random, Asynchronous

Abstract

Simultaneous model order and parameter estimation (SMOPE) is a metaheuristic based system identification method. SMOPE was introduced using particle swarm optimization (PSO). There are several iteration strategies for PSO. The original work on SMOPE is based on synchronous PSO (S-PSO). However, in some works PSO using other iteration strategy is found to give better results. In this work, based on six system identification problems random asynchronous (RA-PSO) based SMOPE is found to have slight advantage over S-PSO.

Published
2019-07-08
How to Cite
[1]
N. A. Ab. Aziz, N. H. Abd Aziz, T. Ab Rahman, N. Mokhtar, and M. Mubin, “Simultaneous Model Order and Parameter Estimation (SMOPE) based on Random Asynchronous Particle Swarm Optimization”, Mekatronika, vol. 1, no. 2, pp. 66-71, Jul. 2019.
Section
Original Article

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