New robust stability criteria for Markovian jump discrete-time neural networks with mode-dependent time delays

In this paper, the time-delay dependent robust stability problem is investigated for Markovian jump discrete-time neural networks with mode-dependent time delays. The jumping parameters are considered as discrete-time, discrete-state Markov process. The linear factional uncertainty is considered, it means that less conservative results will be obtained than using norm-bounded parameter uncertainties. The delay factor depends on the mode of operation. All the results are cast into convenient linear matrix inequality (LMIs) forms. A numerical example is given to illustrate the effectiveness of the main results.