Abstract
This paper presents a new dynamic filtering and smoothing algorithm for discrete non-linear time-delayed systems with coloured noise. The derivation makes use of the matrix minimum principle, to minimize the error variance taken to be the estimation criterion. The algorithms obtained can be approximated to arbitrary order under the assumption that the conditional probability density function of the state variables are Gaussian.
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