@article{Ab. Aziz_Abd Aziz_Ab Rahman_Mokhtar_Mubin_2019, title={Simultaneous Model Order and Parameter Estimation (SMOPE) based on Random Asynchronous Particle Swarm Optimization}, volume={1}, url={https://journal.ump.edu.my/mekatronika/article/view/4987}, DOI={10.15282/mekatronika.v1i2.4987}, abstractNote={<div class="page" title="Page 1"> <div class="section"> <div class="layoutArea"> <div class="column"> <p>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.</p> </div> </div> </div> </div>}, number={2}, journal={Mekatronika: Journal of Intelligent Manufacturing and Mechatronics}, author={Ab. Aziz, Nor Azlina and Abd Aziz, Nor Hidayati and Ab Rahman, Tasiransurini and Mokhtar, Norrima and Mubin, Marizan}, year={2019}, month={Jul.}, pages={66–71} }