Title
Structure Detection of Wiener–Hammerstein Systems With Process Noise
Abstract
Identification of nonlinear block-oriented models has been extensively studied. The presence of the process noise and more precisely its location in the block-oriented model essentially influence the development of a consistent identification algorithm. This paper is proposed with the aim to localize the process noise in the block-oriented model for accurate nonlinear modeling. To this end, the re...
Year
DOI
Venue
2017
10.1109/TIM.2016.2647418
IEEE Transactions on Instrumentation and Measurement
Keywords
Field
DocType
Noise measurement,Protocols,Linear systems,Distortion measurement,Nonlinear dynamical systems,Government
Dead zone,Nonlinear system,Linear system,Noise measurement,Control theory,Hammerstein systems,Process noise,Control engineering,Electronic engineering,Nonlinear dynamical systems,Periodic graph (geometry),Mathematics
Journal
Volume
Issue
ISSN
66
3
0018-9456
Citations 
PageRank 
References 
1
0.35
11
Authors
3
Name
Order
Citations
PageRank
Erliang Zhang110.35
Maarten Schoukens28113.10
Johan Schoukens337658.12