Impulsive Control for Target Estimation in Sensor Networks.

State estimation of nonlinear systems over sensor networks is a current challenge. This work pertains to the study of the target estimation in sensor networks using impulsive control. We first propose an impulse-based filtering scheme of a class of nonlinear systems over sensor networks. Based on impulsive control theory and a comparison theorem, we then present generic criteria for estimation under the designed impulse-based filter. The performance is illustrated with simulations in a network with four sensor groups. [ABSTRACT FROM AUTHOR]