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

Global Exponential Stability of Discrete-Time Complex-Valued Neural Networks with Time-Varying Delay

Authors
Zhenjiang Zhao, Qiankun Song
Corresponding Author
Zhenjiang Zhao
Available Online June 2015.
DOI
https://doi.org/10.2991/icecee-15.2015.162How to use a DOI?
Keywords
Discrete-time; complex-valued neural networks; Variable delay; Impulse; Stability
Abstract
In this paper, a class of discrete-time complex-valued neural networks with time-varying delays and impulses are considered. Based on M-matrix theory and analytic methods, several simple sufficient conditions checking the global exponential stability are obtained for the considered neural networks. The obtained results show that the stability still remains under certain impulsive perturbations for the neural network with stable equilibrium point, and the neural network with unstable equilibrium point can be stabilization by impose appropriate impulsive perturbations.
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Proceedings
2015 2nd International Conference on Electrical, Computer Engineering and Electronics
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-15.2015.162How 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  - Zhenjiang Zhao
AU  - Qiankun Song
PY  - 2015/06
DA  - 2015/06
TI  - Global Exponential Stability of Discrete-Time Complex-Valued Neural Networks with Time-Varying Delay
BT  - 2015 2nd International Conference on Electrical, Computer Engineering and Electronics
PB  - Atlantis Press
SP  - 840
EP  - 845
SN  - 2352-538X
UR  - https://doi.org/10.2991/icecee-15.2015.162
DO  - https://doi.org/10.2991/icecee-15.2015.162
ID  - Zhao2015/06
ER  -