Impulsive Control for Target Estimation in Sensor Networks
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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.
KeywordsEstimation Sensor network Impulsive control Comparison principle
This work is partially supported by National Natural Science Foundation of China (61473136).
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