Enhancing simulated kalman filter algorithm using current optimum opposition-based learning

• Main Authors: Kamil Zakwan, Mohd Azmi, Zuwairie, Ibrahim, Pebrianti, Dwi, Mohd Falfazli, Mat Jusof, Nor Hidayati, Abdul Aziz, Nor Azlina, Ab. Aziz
• Format: Article
• Language: English
• Published: Penerbit UMP 2019
• Subjects: TK Electrical engineering. Electronics Nuclear engineering; TS Manufactures
• Online Access: http://umpir.ump.edu.my/id/eprint/24720/8/Enhancing%20simulated%20Kalman%20filter%20algorithm%20using%20current.pdf; http://umpir.ump.edu.my/id/eprint/24720/; http://journal.ump.edu.my/mekatronika/article/view/157; https://doi.org/10.15282/mekatronika.v1i1.157

Simulated Kalman filter (SKF) is a new population-based optimization algorithm inspired by estimation capability of Kalman filter. Each agent in SKF is regarded as a Kalman filter. Based on the mechanism of Kalman filtering, the SKF includes prediction, measurement, and estimation process to search...