Delay-dependent stability criteria for impulsive high-order Hopfield-Type neural networks with time-varying delays
- https://doi.org/10.2991/icecee-15.2015.255How to use a DOI?
- Delay-dependent stability; Impulsive; high-order Hopfield-type neural network.
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.
- © 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/).
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 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 - https://doi.org/10.2991/icecee-15.2015.255 ID - Yang2015/06 ER -