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...

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Bibliographic Details
Main Author: Kamil Zakwan, Mohd Azmi
Format: Thesis
Language:English
English
English
Published: 2017
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/18150/
http://umpir.ump.edu.my/id/eprint/18150/
http://umpir.ump.edu.my/id/eprint/18150/1/Opposition-%20based%20simulated%20kalman%20filters%20and%20their%20application%20in%20system%20identification-Table%20of%20contents.pdf
http://umpir.ump.edu.my/id/eprint/18150/7/Opposition-%20based%20simulated%20kalman%20filters%20and%20their%20application%20in%20system%20identification-Abstract.pdf
http://umpir.ump.edu.my/id/eprint/18150/13/Opposition-%20based%20simulated%20kalman%20filters%20and%20their%20application%20in%20system%20identification-References.pdf