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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ID Number
86985
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