Non-linear system identification of the Norgaard model using NARX model / Mohd Lutfi Md Radzi

Md Radzi, Mohd Lutfi (2007) Non-linear system identification of the Norgaard model using NARX model / Mohd Lutfi Md Radzi. Degree thesis, Universiti Teknologi MARA (UiTM).

Abstract

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, while the non­ linear approach has better ability to model more complex systems. This paper presents a non-linear system identification method the Norgaard Model, a simulation of an open-loop stable, nonlinear, continuous system.

Metadata

Item Type: Thesis (Degree)
Creators:
Creators
Email / ID Num.
Md Radzi, Mohd Lutfi
UNSPECIFIED
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Yassin, Ahmad Ihsan
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Neural networks (Computer science)
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Electrical Engineering
Programme: Bachelor in Electrical Engineering (Hons.)
Keywords: Narx, System, Identification
Date: 2007
URI: https://ir.uitm.edu.my/id/eprint/86985
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