DocumentCode
526321
Title
Notice of Retraction
Computation of Volterra kernels´ identification to Riccati nonlinear equation
Author
Yunhai Wang ; Jinglong Han ; Tingting Zhang
Author_Institution
Inst. of Vibration Eng. Res., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
Volume
6
fYear
2010
fDate
9-11 July 2010
Firstpage
6
Lastpage
8
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
In this paper, we will use a method of analytical calculation to identify a class weakly nonlinear dynamic system. Based on Volterra theory, the aim is to identify its first-order and second-order Volterra kernels. A model of such kind of nonlinear systems described by Riccati equation will be used to illustrate this method below.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
In this paper, we will use a method of analytical calculation to identify a class weakly nonlinear dynamic system. Based on Volterra theory, the aim is to identify its first-order and second-order Volterra kernels. A model of such kind of nonlinear systems described by Riccati equation will be used to illustrate this method below.
Keywords
Riccati equations; Volterra series; identification; nonlinear dynamical systems; nonlinear equations; Riccati nonlinear equation; Volterra kernels identification; Volterra theory; first-order Volterra kernels; nonlinear dynamic system; second-order Volterra kernels; Analytical models; TV; System Identification; Volterra Theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-5537-9
Type
conf
DOI
10.1109/ICCSIT.2010.5563585
Filename
5563585
Link To Document