DocumentCode :
2792069
Title :
Multi-integral identification based on Feature-Data
Author :
GuiLing, Qiao ; QingBo, Meng
Author_Institution :
Mech. & Electr. Eng. Sch., Henan Univ. of Technol., Zhengzhou, China
fYear :
2011
fDate :
15-17 July 2011
Firstpage :
441
Lastpage :
444
Abstract :
To solve the parameters´ identification of Multi-Order system with pure delay unit, the algorithm based on the multiple integrations of the Feature-Data is presented. With the data of the stepping response, the System´s Feature-Data can be obtained according to the criterion of the Least-Square-Method and the minimum error of some parameters identified redundantly, and with the Multi-Integrations´ value of the feature-data, the equations are established, the parameters can be identified consequently.
Keywords :
delays; identification; least squares approximations; multivariable systems; feature-data; least-square-method; multiintegral identification; multiorder system; parameter identification; pure delay unit; stepping response; Data models; Delay; Equations; Mathematical model; Parameter estimation; White noise; Feature-Data; Multi-Integration Identification; Multi-Order System with Pure Delay Unit; Parameter-Redundancy-Identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
Conference_Location :
Hohhot
Print_ISBN :
978-1-4244-9436-1
Type :
conf
DOI :
10.1109/MACE.2011.5986954
Filename :
5986954
Link To Document :
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