Moving horizon Monte Carlo state estimation for linear systems with output quantization

This paper develops a novel scheme for state estimation of discrete-time linear time-invariant systems with output quantization. The method combines concepts from Monte Carlo sampling and moving horizon estimation. The effectiveness of the scheme is illustrated via a simulation example.

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