Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics

Delay-dependent stability criteria for impulsive high-order Hopfield-Type neural networks with time-varying delays

Authors
Hui Yang, Xiaofeng Li, Dongming Wang
Corresponding Author
Hui Yang
Available Online June 2015.
DOI
https://doi.org/10.2991/icecee-15.2015.255How to use a DOI?
Keywords
Delay-dependent stability; Impulsive; high-order Hopfield-type neural network.
Abstract
This paper is concerned with the stability analysis for impulsive stochastic high-order Hopfield-type neural network with time-varying delay. Utilizing the Lyapunov-Krasovskii Functional, some new conditions for ensuring asymptotically stability of the neural network are devised. Numerical examples show that the results are effectiveness.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
Part of series
Advances in Computer Science Research
Publication Date
June 2015
ISBN
978-94-62520-81-3
ISSN
2352-538X
DOI
https://doi.org/10.2991/icecee-15.2015.255How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Hui Yang
AU  - Xiaofeng Li
AU  - Dongming Wang
PY  - 2015/06
DA  - 2015/06
TI  - Delay-dependent stability criteria for impulsive high-order Hopfield-Type neural networks with time-varying delays
PB  - Atlantis Press
SP  - 1364
EP  - 1367
SN  - 2352-538X
UR  - https://doi.org/10.2991/icecee-15.2015.255
DO  - https://doi.org/10.2991/icecee-15.2015.255
ID  - Yang2015/06
ER  -