DocumentCode
3847026
Title
Nonparametric Input Density-Free Estimation of the Nonlinearity in Wiener Systems
Author
Włodzimierz
Author_Institution
Institute of Computer Engineering, Control, and Robotics, Wroclaw University of Technology, Wroclaw, Poland
Volume
56
Issue
7
fYear
2010
fDate
7/1/2010 12:00:00 AM
Firstpage
3575
Lastpage
3580
Abstract
The nonlinear characteristic of a Wiener system is estimated under nonparametric a priori information. The probability density of the input signal is completely unknown and can be of any form. The estimate is asymptotically biased but its bias can be made arbitrarily small. Results of computer simulations are presented.
Keywords
"Nonlinear dynamical systems","Kernel","Computer simulation","System identification","Polynomials","Nonlinear equations","Control engineering computing","Robot control","Random processes","Signal processing"
Journal_Title
IEEE Transactions on Information Theory
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.2010.2048461
Filename
5484973
Link To Document