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

DOI

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.

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  - 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  - Proceedings of the 2015 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  - 10.2991/icecee-15.2015.162
ID  - Zhao2015/06
ER  -