DocumentCode
1797770
Title
Stability of a neutral delay neuron system in the critical case
Author
Xiaofeng Liao ; Nankun Mu
Author_Institution
Coll. of Electron. & Inf. Eng., Southwest Univ., Chongqing, China
fYear
2014
fDate
6-11 July 2014
Firstpage
1221
Lastpage
1224
Abstract
In this paper, the asymptotic stability properties of neutral-type neuron system are studied mainly in the critical case when the exponential stability is not possible. In the case of a critical value of the coefficient in neutral-type neuron system, the difficulty for our investigation is the fact that the spectrum of the linear operator is asymptotically approximated to the imaginary axis. Hence, based on the energy method, the asymptotic stability results for neutral-type neuron system are derived, and a complete analysis of the stability diagram is presented.
Keywords
asymptotic stability; differential equations; neural nets; asymptotic stability properties; asymptotical approximation; critical case; critical value; energy method; imaginary axis; linear operator; neutral delay neuron system; neutral-type neuron system; stability diagram; Asymptotic stability; Delays; Differential equations; Equations; Mathematical model; Neurons; Stability analysis; asymptotic stability; critical case; neuron system; neutral-tyep;
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.2014.6889612
Filename
6889612
Link To Document