Stability Analysis of Neural Networks with Discrete and Distributed Time Delays
To solve the stability problem of neural network systems with discrete and distributed time delays,by constructing a suitable Lyapunov functional and combining with Wirtinger-based inequality and Jenson inequality,a new delay-dependent exponential stability criterion represented by linear matrix inequality is obtained.The conservatism of existing stability criteria is reduced to a certain extent.Two specific neuron network models is employed to demonstrate the superiority and feasibility of the stability discrimination criteria.
neural networksstability analysisLyapunov functionaldistributed time delay