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...

Full description

Saved in:
Bibliographic Details
Main Author: Kamil Zakwan, Mohd Azmi
Format: Thesis
Published: 2017
Subjects:
Online Access:http://iportal.ump.edu.my/lib/item?id=chamo:100018&theme=UMP2
http://iportal.ump.edu.my/lib/item?id=chamo:100018&theme=UMP2
http://umpir.ump.edu.my/18150/1/Opposition-%20based%20simulated%20kalman%20filters%20and%20their%20application%20in%20system%20identification-Table%20of%20contents.pdf
http://umpir.ump.edu.my/18150/7/Opposition-%20based%20simulated%20kalman%20filters%20and%20their%20application%20in%20system%20identification-Abstract.pdf
http://umpir.ump.edu.my/18150/13/Opposition-%20based%20simulated%20kalman%20filters%20and%20their%20application%20in%20system%20identification-References.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!