Global exponential stability of competitive neural networks with different time-scales

The global exponential stability of competitive neural networks with different time scales and delay is investigated.Based on the proper Lyapunov functions and analysis for the Jacobsthal inequality,some new sufficient conditions for global exponential stable of the delayed competitive neural networks with different time scales are given.An illustrative example with its figsure of simulation is presented which demonstrates the usefulness of the proposed results.