DocumentCode :
2539557
Title :
Design considerations for piecewise affine system identification of nonlinear systems
Author :
Canty, Niel ; Mahony, Tom O.
Author_Institution :
Dept. of Electron. Eng., Cork Inst. of Technol., Cork, Ireland
fYear :
2009
fDate :
24-26 June 2009
Firstpage :
157
Lastpage :
162
Abstract :
A PieceWise AutoRegressive eXogenous (PWARX) model for the AMIRA DR300 DC motor is identified using clustering techniques available in the Hybrid Identification Toolbox (HIT). The choice of design parameters like magnitude of the noise variance and size of the local dataset are discussed. These parameters influence the quality and performance of the PWARX model. The performance of the PWARX model is compared with that of a linear model. The results show superior performance of the PWARX model especially in the nonlinear regions.
Keywords :
DC motors; identification; machine control; nonlinear systems; AMIRA DR300 DC motor; Hybrid Identification Toolbox; PWARX model; PieceWise AutoRegressive eXogenous model; clustering technique; linear model; noise variance; nonlinear system; piecewise affine system identification; Automatic control; Clustering methods; DC motors; Design automation; Design engineering; Linear systems; Mathematical model; Nonlinear control systems; Nonlinear systems; System identification; Hybrid Systems; Non-linear systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Automation, 2009. MED '09. 17th Mediterranean Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
978-1-4244-4684-1
Electronic_ISBN :
978-1-4244-4685-8
Type :
conf
DOI :
10.1109/MED.2009.5164532
Filename :
5164532
Link To Document :
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