DocumentCode
3818232
Title
Input Nonlinearity Recovering in a Class of Systems
Author
Wlodzimierz Greblicki
Author_Institution
Inst. of Comput. Eng., Control, & Robot., Wroclaw Univ. of Technol., Wroclaw, Poland
Volume
54
Issue
7
fYear
2009
fDate
7/1/2009 12:00:00 AM
Firstpage
1714
Lastpage
1717
Abstract
A system in which a nonlinear memoryless part is followed by a nonlinear dynamic one is identified under nonparametric a priori information. The input nonlinearity is recovered with the kernel regression estimate.
Keywords
"Nonlinear dynamical systems","Kernel","Sequences","System identification","Computational biology","Chemistry","Biological system modeling","Nonlinear equations","Noise measurement","Random variables"
Journal_Title
IEEE Transactions on Automatic Control
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/TAC.2009.2020647
Filename
5109517
Link To Document