Synchronous-asynchronous simulated kalman filter algorithm with random switching
The original Simulated Kalman Filter (SKF) is an optimizer that employs synchronous update mechanism. The agents in SKF update their solutions after all fitness calculations, prediction process, and measurement process are completed. An alternative to synchronous update is asynchronous update. In as...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Universiti Malaysia Pahang
2020
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/28582/ http://umpir.ump.edu.my/id/eprint/28582/1/31.%20Synchronous-asynchronous%20simulated%20kalman%20filter%20algorithm%20with%20random%20switching.pdf http://umpir.ump.edu.my/id/eprint/28582/2/31.1%20Synchronous-asynchronous%20simulated%20kalman%20filter%20algorithm%20with%20random%20switching.pdf |
Internet
http://umpir.ump.edu.my/id/eprint/28582/http://umpir.ump.edu.my/id/eprint/28582/1/31.%20Synchronous-asynchronous%20simulated%20kalman%20filter%20algorithm%20with%20random%20switching.pdf
http://umpir.ump.edu.my/id/eprint/28582/2/31.1%20Synchronous-asynchronous%20simulated%20kalman%20filter%20algorithm%20with%20random%20switching.pdf