Abstract

The paper considers the problem of robust state estimation for the case in which some of the measurement data is missing. This problem is considered within the framework of a class of uncertain discrete-time systems with a deterministic description of noise and uncertainty. The main result is a recursive scheme for constructing an ellipsoidal state estimation set of all states consistent with the available measured output and the given noise and uncertainty description.

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