DocumentCode :
165033
Title :
Identification of rate saturation from best linear approximation
Author :
Keong Yong, Alex Yean ; Ai Hui Tan ; Chin Leei Cham
Author_Institution :
Fac. of Eng., Multimedia Univ., Cyberjaya, Malaysia
fYear :
2014
fDate :
13-14 Oct. 2014
Firstpage :
72
Lastpage :
77
Abstract :
This paper considers the identification of rate saturation nonlinearity. A method to estimate the rate saturation limits from the best linear approximation is proposed and applied to the model in discrete-time. The approach has the advantages that it can be easily extended to the identification of Wiener-Hammerstein models whereby the rate saturation block is cascaded in a Wiener-Hammerstein structure and identification can also be carried out across the frequency bandwidth of interest. Simulation results are presented to show the effectiveness of the proposed technique.
Keywords :
approximation theory; nonlinear control systems; power system control; Wiener-Hammerstein models; best linear approximation; rate saturation nonlinearity identification; Estimation; Harmonic analysis; Integrated circuit modeling; Iterative methods; Linear approximation; Signal to noise ratio; best linear approximation; identification; nonlinear systems; rate saturation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Energy Conversion (CENCON), 2014 IEEE Conference on
Conference_Location :
Johor Bahru
Type :
conf
DOI :
10.1109/CENCON.2014.6967479
Filename :
6967479
Link To Document :
بازگشت