Opposition- based simulated kalman filters and their application in system identification
Metaheuristic optimization algorithms are well-established techniques to address those problems which are difficult to solve through traditional optimization methods. Among the various kinds of optimization algorithms, Simulated Kalman Filter (SKF) is a new population-based optimization algorithm in...
Saved in:
Main Author: | Kamil Zakwan, Mohd Azmi |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2017
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/18150/19/Opposition-%20based%20simulated%20kalman%20filters%20and%20their%20application%20in%20system%20identification.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Adaptive beamforming algorithm based on Simulated Kalman Filter
by: Kelvin Lazarus, Lazarus
Published: (2017) -
Simulated kalman filter (SKF) based image template matching for distance measurement by using stereo vision system
by: Nurnajmin Qasrina Ann, Ayop Azmi
Published: (2018) -
Kalman filter based impedance parameter estimation for transmission line and distribution line
by: Siti Nur Aishah, Mohd Amin
Published: (2019) -
SNR estimation using extended kalman filter technique for orthogonal frequency division multiplexing (OFDM) system
by: Ong, Sylvia Ai Ling
Published: (2012) -
Position tracking of underwater vehicle using extended Kalman Filter
by: Sirkunan, Navein
Published: (2022)