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
fDate :
7/1/2009 12:00:00 AM
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
DOI :
10.1109/TAC.2009.2020647
