Citation
Abdul Aziz, Nor Hidayati and Ibrahim, Zuwairie and Ab Aziz, Nor Azlina and Muhammad, Badaruddin and Ab Rahman, Tasiransurini and Mohamad, Mohd Saberi and Rahmad, Suhazri Amrin (2020) Parameter Tuning in the Single-Solution Simulated Kalman Filter Optimizer. In: Intelligent Manufacturing and Mechatronics. Lecture Notes in Mechanical Engineering . Springer, pp. 48-56.
Text
10.1007@978-981-13-9539-05.pdf - Published Version Restricted to Repository staff only Download (231kB) |
Official URL: https://link.springer.com/chapter/10.1007/978-981-...
Abstract
Single-solution simulated Kalman filter (ssSKF) is a variant of simulated Kalman filter (SKF) algorithm. Both algorithms employ the well-known Kalman filtering mechanism in an optimization process. Unlike the population-based SKF, the ssSKF operates using one agent. In this paper, parameter tuning of the ssSKF algorithm is presented.
Item Type: | Book Section |
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Uncontrolled Keywords: | Kalman filtering, Optimization, Simulated Kalman filter |
Subjects: | Q Science > QA Mathematics > QA299.6-433 Analysis |
Divisions: | Faculty of Engineering and Technology (FET) |
Depositing User: | Ms Suzilawati Abu Samah |
Date Deposited: | 16 Dec 2020 13:13 |
Last Modified: | 16 Dec 2020 13:13 |
URII: | http://shdl.mmu.edu.my/id/eprint/7966 |
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