Exponential stability of recurrent neural networks with mixed delays via impulse time interval control

摘要

The issue of global exponential stability for a pattern of recurrent neural networks with mixed delays via impulsive time interval control is studied in this paper. By applying classical impulse control theory, constructing appropriate Lyapunov functional and mathematical induction, the detailed derivation process for a sufficient condition is put forward. It is shown that the neural networks can still be stable based on some felicitous assumptions. In order to check out the availability of the theoretical analysis, a simulated example is presented. It can be concluded that the universality of the control strategy is further improved.