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

DOI

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.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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
BT  - Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics
PB  - Atlantis Press
SP  - 1364
EP  - 1367
SN  - 2352-538X
UR  - https://doi.org/10.2991/icecee-15.2015.255
DO  - 10.2991/icecee-15.2015.255
ID  - Yang2015/06
ER  -