Stochastic stability analysis of neutral-type impulsive neural networks with mixed time-varying delays and Markovian jumping

In this paper, the stochastic stability problem of neutral-type impulsive neural networks (NINNs) with mixed time-varying delays and Markovian jumping is investigated. By utilizing the Lyapunov–Krasovkii functional approach and linear matrix inequality (LMI) technique, we obtain some novel globally exponentially stable results. Delay-dependent sufficient condition for the above problem is obtained, which is usually less conservative than delay-independent ones. An example is given to show the effectiveness of the obtained results.