DocumentCode
2811278
Title
Identification of wiener systems : the least amount of a priori information
Author
Bai, Er-Wei ; Reyland, John, Jr.
Author_Institution
Univ. of Iowa, Iowa City
fYear
2007
fDate
27-29 June 2007
Firstpage
1
Lastpage
6
Abstract
In this paper, we investigate what constitutes the least amount of a priori information on the nonlinearity so that the linear part is identifiable in the non-Gausian case. Three types of a priori information are considered including quadrant information, point information and locally monotonous information. In all three cases, identifiability has been established and corresponding identification algorithms are developed with their convergence proofs.
Keywords
nonlinear control systems; stochastic processes; Wiener system identification; nonGausian case; nonlinear system; quadrant information; Cities and towns; Convergence; Finite impulse response filter; Linear systems; Nonlinear dynamical systems; Nonlinear systems; Parameter estimation; Piecewise linear techniques; System identification; Hammerstein systems; nonlinear systems; system identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Control & Automation, 2007. MED '07. Mediterranean Conference on
Conference_Location
Athens
Print_ISBN
978-1-4244-1281-5
Electronic_ISBN
978-1-4244-1282-2
Type
conf
DOI
10.1109/MED.2007.4433803
Filename
4433803
Link To Document