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:
主要作者: | Kamil Zakwan, Mohd Azmi |
---|---|
格式: | Thesis |
語言: | English |
出版: |
2017
|
主題: | |
在線閱讀: | http://umpir.ump.edu.my/id/eprint/18150/19/Opposition-%20based%20simulated%20kalman%20filters%20and%20their%20application%20in%20system%20identification.pdf |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Adaptive beamforming algorithm based on Simulated Kalman Filter
由: Kelvin Lazarus, Lazarus
出版: (2017) -
Simulated kalman filter (SKF) based image template matching for distance measurement by using stereo vision system
由: Nurnajmin Qasrina Ann, Ayop Azmi
出版: (2018) -
Kalman filter based impedance parameter estimation for transmission line and distribution line
由: Siti Nur Aishah, Mohd Amin
出版: (2019) -
SNR estimation using extended kalman filter technique for orthogonal frequency division multiplexing (OFDM) system
由: Ong, Sylvia Ai Ling
出版: (2012) -
Position tracking of underwater vehicle using extended Kalman Filter
由: Sirkunan, Navein
出版: (2022)