DocumentCode
724435
Title
Stability analysis of an annular neural network with time-delay control
Author
Zunshui Cheng ; Yan Wang ; Shuguo Yang ; Dehao Li
Author_Institution
Qingdao Univ. of Sci. & Technol., Qingdao, China
fYear
2015
fDate
23-25 May 2015
Firstpage
4458
Lastpage
4462
Abstract
In this paper, an annular neural network model with three neurons and delays is considered. Time delay can be regard as a source of instability, so that regarding the time-delay τ in feedback control as the bifurcation parameter, we construct a system and theoretically investigate the influence of time delays on linear stability and bifurcation. By analyzing the associated characteristic equation and applying the normal form theory, we obtain the direction of the Hopf bifurcation and the stability. Finally, an example is given and numerical simulations are represented to illustrate the obtained results of the proposed scheme.
Keywords
bifurcation; delay systems; feedback; linear systems; neurocontrollers; stability; Hopf bifurcation parameter; annular neural network stability analysis; characteristic equation analysis; feedback control; linear stability; normal form theory; numerical simulations; time-delay control; Asymptotic stability; Bifurcation; Biological neural networks; Delays; Mathematical model; Numerical stability; Stability analysis; Bifurcation; Control; Delay; Neural Network; Stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location
Qingdao
Print_ISBN
978-1-4799-7016-2
Type
conf
DOI
10.1109/CCDC.2015.7162710
Filename
7162710
Link To Document