DocumentCode
1798103
Title
Global exponential stability of delayed Hopfield neural network on time scale
Author
Xuehui Mei ; Haijun Jiang
Author_Institution
Coll. of Math. & Syst. Sci., Xinjiang Univ., Urumqi, China
fYear
2014
fDate
6-11 July 2014
Firstpage
2991
Lastpage
2996
Abstract
In This paper, by using the theory of calculus on time scales and constructing some suitable Liapunov functions, we obtained the existence, uniqueness and global exponential stability of equilibrium point of delayed Hopfield neural network with impulses on time scale. The conditions can be easily checked in practice by simple algebraic methods.
Keywords
Hopfield neural nets; Lyapunov methods; algebra; asymptotic stability; Liapunov function; algebraic method; delayed Hopfield neural network; equilibrium point; global exponential stability; theory of calculus; time scale; Biological neural networks; Calculus; Control theory; Equations; Mathematical model; Stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks (IJCNN), 2014 International Joint Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4799-6627-1
Type
conf
DOI
10.1109/IJCNN.2014.6889781
Filename
6889781
Link To Document