Title
An iterative learning approach to identify fractional order KiBaM model
Abstract
This paper discusses the parameter and differentiation order identification of continuous fractional order KiBaM models in ARX (autoregressive model with exogenous inputs) and OE (output error model) forms. The least squares method is applied to the identification of nonlinear and linear parameters, in which the Grunwald-Letnikov definition and short memory principle are applied to compute the fra...
Year
DOI
Venue
2017
10.1109/JAS.2017.7510358
IEEE/CAA Journal of Automatica Sinica
Keywords
Field
DocType
Batteries,Mathematical model,Integrated circuit modeling,Capacitors,Equivalent circuits,Resistors,Iterative methods
Least squares,Convergence (routing),Autoregressive model,Nonlinear system,Control theory,Iterative method,Resistor,Iterative learning control,Mathematics,Equivalent circuit
Journal
Volume
Issue
ISSN
4
2
2329-9266
Citations 
PageRank 
References 
0
0.34
8
Authors
5
Name
Order
Citations
PageRank
Yang Zhao100.34
Yan Li245829.16
Fengyu Zhou300.34
Zhongkai Zhou400.34
Yangquan Chen52257242.16