DocumentCode
2480431
Title
A new method to exponential stability of the Cohen-Grossberg model
Author
Xiao, Shengzhong
Author_Institution
Guangdong Agric. Ind. Bus. Coll., Guangzhou
fYear
2008
fDate
25-27 June 2008
Firstpage
1683
Lastpage
1686
Abstract
The exponential stability of the Cohen-Grossberg biological model is investigated by introducing generalized nonlinear measure in this paper. with this new approach, sufficient conditions for existence and unique of the equilibrium and exponential stability of the model are presented. meanwhile, the exponential convergence rate to stable equilibrium point is estimated, and the attraction region of local stable equilibrium point is also characterized.
Keywords
asymptotic stability; convergence; neural nets; Cohen-Grossberg biological model; exponential convergence rate; exponential stability; neural networks; Agriculture; Automation; Biological system modeling; Educational institutions; Industrial control; Intelligent control; Lyapunov method; Neural networks; Stability analysis; Sufficient conditions; Neural network; exponential stability; nonlinear measure;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location
Chongqing
Print_ISBN
978-1-4244-2113-8
Electronic_ISBN
978-1-4244-2114-5
Type
conf
DOI
10.1109/WCICA.2008.4593172
Filename
4593172
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