Title :
Nonparametric Input Density-Free Estimation of the Nonlinearity in Wiener Systems
Author_Institution :
Institute of Computer Engineering, Control, and Robotics, Wroclaw University of Technology, Wroclaw, Poland
fDate :
7/1/2010 12:00:00 AM
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
DOI :
10.1109/TIT.2010.2048461
