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,...
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Format: | Thesis |
Language: | English |
Published: |
2007
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Online Access: | https://ir.uitm.edu.my/id/eprint/86985/1/86985.PDF |
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Summary: | 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. |
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