Bayes’ approach application for developing the adaptive multistructural algorithms of optimal filtration under conditions of unknown intensities of structure change

A propagation capability of the synthesis methods for multistructural shemes of the information recurrent processing that are based on a filtration theory of discontinuous multivariate Markov processes (in the assumption of a priori known distribution of phase coordinates for permissible conditions of the system), is considered for the case of absense of authentic information about intensities of structure change. The practical capabilities of obtained theoretical results are discussed on an example of synthesis of adaptive optimum filters for Doppler speed gauges supposing change of the process model in a filter structure under conditions of incompleteness and stochastics of the transition intensity data.