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...
محفوظ في:
المؤلف الرئيسي: | Kamil Zakwan, Mohd Azmi |
---|---|
التنسيق: | أطروحة |
اللغة: | English |
منشور في: |
2017
|
الموضوعات: | |
الوصول للمادة أونلاين: | http://umpir.ump.edu.my/id/eprint/18150/19/Opposition-%20based%20simulated%20kalman%20filters%20and%20their%20application%20in%20system%20identification.pdf |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Adaptive beamforming algorithm based on Simulated Kalman Filter
بواسطة: Kelvin Lazarus, Lazarus
منشور في: (2017) -
Simulated kalman filter (SKF) based image template matching for distance measurement by using stereo vision system
بواسطة: Nurnajmin Qasrina Ann, Ayop Azmi
منشور في: (2018) -
Kalman filter based impedance parameter estimation for transmission line and distribution line
بواسطة: Siti Nur Aishah, Mohd Amin
منشور في: (2019) -
SNR estimation using extended kalman filter technique for orthogonal frequency division multiplexing (OFDM) system
بواسطة: Ong, Sylvia Ai Ling
منشور في: (2012) -
Position tracking of underwater vehicle using extended Kalman Filter
بواسطة: Sirkunan, Navein
منشور في: (2022)