Exponential stability of Markovian jumping stochastic Cohen-Grossberg neural networks with mixed time delays and impulses

This paper is mainly concerned with the exponential stability of a class of Markovian jumping stochastic CohenGrossberg neural networks with mixed time delays and impulses. Three types of impulses are considered: the impulses are input disturbances, the impulses are neutral type, and the impulses are stabilizing. For each type of impulses, the sufficient conditions for exponential stability in form of matrix inequalities have been derived with regard to suitable classes of impulse time sequences.