Multiperiodicity analysis of higher-order cellular neural networks with leakage time-lags
具有漏泄时滞的高阶细胞神经网络的多周期性分析

The multiperiodicity and the exponential convergence of a class of higher-order cellular neural networks with leakage time-lags are analyzed. A sufficient condition for guaranteeing periodic orbits of this kind of networks to be locally exponentially convergent in saturation regions is obtained. The results show that an n-dimensional neural network can have 2^n periodic orbits located in saturation regions, and these periodic orbits are locally exponentially convergent. The simulation example shows the effectiveness of the results.