Identification of discrete-time dynamic systems using modified genetic algorithm
The purpose of this study is to investigate the application of genetic algorithm (GA) in modelling linear and non-linear dynamic systems and develop an alternative model structure selection algorithm based on GA. Orthogonal least square (OLS), a gradient descent method was used as the benchmark for...
Saved in:
Main Author: | Ahmad, Robiah |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2004
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/60616/1/RobiahAhmadPFKM2004.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Identification of discrete-time dynamic systems using modified genetic algorithm
by: Ahmad, Robiah
Published: (2004) -
Integrated optimal control and parameter estimation algorithms for discrete-time nonlinear stochastic dynamical systems
by: Kek, Sie Long
Published: (2011) -
Integrated optimal control and parameter estimation algorithms for discrete-time nonlinear stochastic dynamical systems
by: Kek, Sie Long
Published: (2011) -
Class timetabling using modified genetic algorithm
by: Ismail, Fadilah
Published: (2004) -
Implementation of genetic algorithm in model identification of box-jenkins methodology
by: Md. Maarof, Mohd. Zulariffin
Published: (2013)