Abstract
The paper presents the results of an investigation into the influence of the Poisson filter constant on the quality of estimation in continuous-time models of lumped linear dynamical systems, via Poisson moment functionals (PMF). A comparative study of the ordinary and normalised PMFs suggests some useful guidelines for the proper choice of the filter constant in the practical computational environment, although, in theory, any Poisson filter is known to give the desired results.
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