Technique of synthesis of optimal strategies for diagnosis of the automated control systems of complex technical objects with use aprioristic information.

This work is dedicated to the problem of increasing the reliability of diagnostics for the complex technical systems in the conditions of the uncertainty. The diagnostic tech-nique of the complex systems was developed on the basis of the posteriori output of the Bayesian belief networks, including synthesis of the optimal diagnostic strategy taking into account dynamics of the aprioristic information and various laws of the distribution of continuous diagnostic signs.