Global exponential robust stability of stochastic high-order hopfield neural networks with S-type distributed time delays

摘要

By employing differential inequality technique and Lyapunov functional method, some criteria of global exponential robust stability for the stochastic high-order neural networks with S-type distributed time delays are established, which are easily verifiable and have a wider adaptive. Finally, an example with numerical simulation is given to illustrate the obtained results.