Non-linear system identification of the Norgaard model using NARX model / Mohd Lutfi Md Radzi
System identification is defined as the task of inferring a mathematical model of dynamic systems based on a series of measurements collected from the system. The modelling technique is generally divided into two: linear and non-linear. The linear modelling approach has the advantage of simplicity,...
Saved in:
Main Author: | Md Radzi, Mohd Lutfi |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2007
|
Subjects: | |
Online Access: | https://ir.uitm.edu.my/id/eprint/86985/1/86985.PDF |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Modeling regional peak load forecasting using dynamic narx neural network with temperature
by: Basaruddin, Faridah
Published: (2014) -
Economic dispatch prediction for power generation using artificial neural networks / Ahmad Radzi Sabtu
by: Sabtu, Ahmad Radzi
Published: (2012) -
Comparison between cascade forward and multi-layer perceptron neural networks for NARX functional electrical stimulation (FES) based muscle model / Abu Huzaifah Abu Hassan
by: Abu Hassan, Abu Huzaifah
Published: (2016) -
PSO and Linear LS for parameter estimation of NARMAX/NARMA/NARX models for non-linear data / Siti Muniroh Abdullah
by: Abdullah, Siti Muniroh
Published: (2017) -
Comparison between artificial neural network and non-linear auto regressive moving average (NARMA) models for internet traffic / Muhammad Naqiuddin Sahrani
by: Sahrani, Muhammad Naqiuddin
Published: (2015)