Информационная поддержка автоматизированного структурного проектирования марковских процессов

Abstract

The work is devoted to the creation support of decision-making in CAD and CAM information system, based on the synergetic association of different markov models of difficult dynamic systems with reservation possibilities: empirical, semimarkov and morphological. The empirico-statistical model estimates the damages which have occurred in object at its bench and polygon tests, semimarkov the model is created for modeling of discrete objects in continuous time and, at last, morphological markov models are applied to identification of conditions of difficult systems.