Stability of Neural Networks with Both Impulses and Time-Varying Delays on Time Scale

摘要

In this paper, the stability of neural networks with both impulses and time-varying delays on time scale is investigated, the existence of Delta derivative of time-varying delays is not assumed. By employing time scale calculous theory, free weighting matrix method and linear matrix inequality (LMI) technique, a delay-dependent sufficient condition is obtained to ensure the stability of equilibrium point for neural networks with both impulses and time-varying delays on time scale. An example with simulations is given to show the effectiveness of the theory.