A Tutorial on Population-based Simulated Kalman Filter

Authors

  • Nor Hidayati Abdul Aziz
  • Nor Azlina Ab. Aziz
  • Badaruddin Muhammad
  • Zulkifli Md Yusof
  • Kamil Zakwan Mohd Azmi
  • Mohd Saberi Mohamad
  • Yusei Tsuboi

DOI:

https://doi.org/10.15282/mekatronika.v1i2.4894

Keywords:

Optimization, Simulated Kalman Filter

Abstract

Simulated Kalman Filter (SKF) is an estimation-based optimization algorithm which is established based on the Kalman filtering framework. Even since the SKF algorithm is introduced in 2015, there is no tutorial been published on SKF. One may find that the equations and flowchart of the algorithm is not easy to understand. Hence, this paper provides a tutorial on SKF algorithm that emphasizes on a numerical example for easy and intuitive explanations. This tutorial would be important to those who work on the fundamentals and applications of SKF as well as to students who are new to optimization research.

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Published

2019-07-15

How to Cite

[1]
N. H. Abdul Aziz, “A Tutorial on Population-based Simulated Kalman Filter”, MEKATRONIKA, vol. 1, no. 2, pp. 23–32, Jul. 2019.

Issue

Section

Original Article

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