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Proceedings of the 2011 American Control Conference
The information filter has evolved into a key tool for distributed and decentralized multisensor estimation and control. Essentially, it is an algebraical reformulation of the Kalman filter and provides estimates on the information about an uncertain state rather than on a state itself. Whereas many practicable Kalman filtering techniques for nonlinear system and sensor models have been developed, approaches towards nonlinear information filtering are still scarce and limited. In order to dealdoi:10.1109/acc.2011.5991535 fatcat:ml55tkd6knfmhmpmhotbg33cri