Filtering of Stochastic Systems
More Info
expand_more
expand_more
Abstract
Filter problems are formulated for stochastic systems which are not Gaussian systems. Both the estimation problem, the sequential estimation problem, and the filter problem are treated. A sufficient condition for the existence of a finite-dimensional filter system is formulated. The concept of a family of invariant conditional distributions is defined. It is described how to solve the filter problem by a measure transformation method. Cases treated include the Poisson–Gamma filter and the filter of an output-finite–state-finite stochastic system.
Files
VanSchuppen2021_Chapter_Filter... (pdf)
(pdf | 0.53 Mb)
Unknown license
Download not available