A Tutorial on Single-solution Simulated Kalman Filter

  • Nor Hidayati Abdul Aziz
  • Nor Azlina Ab. Aziz
  • Badaruddin Muhammad
  • Kamil Zakwan Mohd Azmi
  • Zulkifli Md Yusof
  • Mohd Saberi Mohamad
  • Mohd Ibrahim Shapiai
  • Yusei Tsuboi
Keywords: Optimization, ssSKF, SKF

Abstract

Simulated Kalman Filter (SKF) is an estimation-based optimization algorithm which is established based on the Kalman filtering framework. A variant of SKF which operates using one agent is called single-solution simulated Kalman filter (ssSKF). At present, there is no tutorial been published on ssSKF. One may find that the equations and flowchart of the algorithm is not easy to understand. Hence, this paper provides a tutorial on ssSKF 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 ssSKF as well as to students who are new to optimization research.

Published
2019-07-15
How to Cite
[1]
N. H. Abdul Aziz, “A Tutorial on Single-solution Simulated Kalman Filter”, Mekatronika, vol. 1, no. 2, pp. 33-44, Jul. 2019.
Section
Original Article

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