Global Exponential Stability of Discrete-Time Complex-Valued Neural Networks with Time-Varying Delay
Zhenjiang Zhao, Qiankun Song
Available Online June 2015.
- https://doi.org/10.2991/icecee-15.2015.162How to use a DOI?
- Discrete-time; complex-valued neural networks; Variable delay; Impulse; Stability
- 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.
- 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 -