Global Asymptotical Stability Criteria for a Class of Delayed Neural Network Model of Neutral Type Based on LMI
Zhanshan Wang, Huaguang Zhang · Kongzhi yu juece · 2006
A sufficient condition guaranteeing the global asymptotical stability of the equilibrium point is derived for a class of neural network models with variable delay and neutral type delay.The stability criterion not only eliminates the differences between excitatory and inhibitory effects on the neural networks,but also can be conveniently checked.Numerical example shows the effectiveness of the obtained results.