Orthogonal least square algorithm and its application for modelling suspension system

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 esti...

全面介紹

Saved in:
書目詳細資料
Main Authors: Ahmad, Robiah, Jamaluddin, Hishamuddin
格式: Article
語言:English
出版: Penerbit UTM Press 2001
在線閱讀:http://eprints.utm.my/id/eprint/855/1/JT34A6.pdf
http://eprints.utm.my/id/eprint/855/
http://www.penerbit.utm.my/onlinejournal/34/A/JT34A6.pdf
標簽: 添加標簽
沒有標簽, 成為第一個標記此記錄!
實物特徵
總結: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.