Title
Comparison between two set membership methods for frequency domain system identification using fractional models
Abstract
The main objective of this paper is to estimate the whole set of feasible parameters of a fractional differentiation model, through two methods based on complex frequency data. The first one uses a rectangular inclusion function with rectangle sides corresponding to real and imaginary parts of the complex frequency response; whereas the second one uses a polar inclusion function and the magnitude/phase representation. Each inclusion function introduces some pessimism differently. It is shown that the two approaches are complementary and that the results can be merged to obtain the smallest feasible solution set.
Year
DOI
Venue
2010
10.1109/ACC.2010.5531352
American Control Conference
Keywords
DocType
ISSN
differentiation,frequency estimation,set theory,complex frequency data,complex frequency response,fractional differentiation model,magnitude representation,parameter estimation,phase representation,polar inclusion function,rectangular inclusion function,frequency domain analysis,approximation algorithms,frequency domain,system identification,frequency response,data models
Conference
0743-1619
ISBN
Citations 
PageRank 
978-1-4244-7426-4
0
0.34
References 
Authors
4
5
Name
Order
Citations
PageRank
firas khemane100.34
Malti, R.231.19
Moreau, X.301.01
Tarek Raïssi421.06
Magalie Thomassin561.31