Ahmad, Robiah and Jamaluddin, Hishamuddin (2001) Orthogonal least square algorithm and its application for modelling suspension system. Jurnal Teknologi A (34A). pp. 71-84. ISSN 0127-9696
Official URL: http://www.penerbit.utm.my/onlinejournal/34/A/JT34...
A mathematical model is important to find a dynamic response of a system. The information obtained from the model could be used for investigation and analysis. Modelling based on input and output data is known as system identification. One of the issues in system identification is the parameter estimation and model structure selection where various methods have been studied including the orthogonal least square algorithm. Orthogonal least square estimation is an algorithm which can determine the structure of a model by identifying the significant terms contributed to the model and also capable of providing the final values of parameter estimates. The derivation of the algorithm is presented and its application to the modelling of a car suspension system is included to demonstrate the effectiveness of the algorithm.
|Uncontrolled Keywords:||Orthogonal least square algorithm, dynamic system modelling, system identification, suspension system model|
|Deposited By:||En Mohd. Nazir Md. Basri|
|Deposited On:||22 Feb 2007 06:43|
|Last Modified:||18 May 2012 07:11|
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