Asynchronous dissipative filtering for nonlinear jumping systems subject to fading channels

The fuzzy asynchronous dissipative filtering issue for Markov jump discrete-time nonlinear systems subject to fading channels is discussed in this paper, where the Rice fading model is employed to characterize the fading channels phenomenon in the system measurements for the first time. The attention is focused on developing an available asynchronous filter, which can ensure that the underlying error system is dissipative. In this regard, several important performances can be investigated conveniently by introducing adjustment matrices. By means of the stochastic analysis theory and the network control technique, some sufficient conditions for the solvability of the addressed problem are presented, simultaneously, the gains of the filter desired are determined correspondingly. An illustrative example is finally exploited to explain the utilizability of the developed approach.