DocumentCode
3532757
Title
Local variable selection and dimension determination of nonlinear non-parametric systems
Author
Er-Wei Bai ; Kang Li ; Wenxiao Zhao ; Weiyu Xu
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Iowa, Iowa City, IA, USA
fYear
2013
fDate
10-13 Dec. 2013
Firstpage
4296
Lastpage
4301
Abstract
In this paper, we consider the variable selection problem for a nonlinear non-parametric system. The approach proposed selects a variable by detecting if the corresponding partial derivative is zero or not at the point of interest. The algorithm is shown to have not only the parameter but also the set convergence. This is critical because the variable selection problem is binary, a variable is either selected or not selected. The approach allows the unknown non-parametric nonlinear system to have different local dimensions at different points of interest.
Keywords
convergence; nonlinear systems; dimension determination; local variable selection problem; partial derivative; set convergence; unknown nonparametric nonlinear system; Bandwidth; Convergence; Educational institutions; Input variables; Kernel; Nonlinear systems; Optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location
Firenze
ISSN
0743-1546
Print_ISBN
978-1-4673-5714-2
Type
conf
DOI
10.1109/CDC.2013.6760550
Filename
6760550
Link To Document