Distributed finite horizon H∞-consensus filtering via sensor networks with Markov switching topology

In this paper, the distributed H∞ consensus filter problems is investigated for a class of discrete time-varying nonlinear systems on a finite horizon. The topology structure of the sensor networks is assumed to be Markov switching and the missing measurements (packet dropouts) problem is also considered. A effective consensus filter design algorithm could be achieved by solving a group of recursive linear matrix inequalities (RLMI), which is dependent on the current system parameters, hence is suitable for online computation.