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This article is devoted to the methodological aspects of upgrading aircraft, including the complex of mathematical methods, algorithms and criteria which allow the objective of the assigned research problem to be met.

In this article, a methodological approach based on a complex indicator (productivity -cost -efficiency) to evaluate the efficiency of using unmanned aeronautical systems is presented as a solution to the problem of searching for objects on the ground. This methodological approach can be used as a substantiation of decisions taken during the act of searching for specific objects and as a comparative evaluation of unmanned aeronautical systems by taking into account their characteristics.

Methods to solve the problems of the comparative assessment and selection of unmanned aerial systems are offered. These methods are based on the particular indicators that display the efficiency of unmanned aerial system application. An algorithm that helps to solve such problems has been developed to create a system of support and decision making and to optimise the distribution of resources.

The article researches the project management upgrade of an aeronautical system in conditions of uncertainty. An approach based on artificial immune systems and Bayesian networks is suggested.Santrauka. Straipsnyje tiriamas aeronautikos sistemų atnaujinimo projektų valdymas nepastoviomis sąlygomis. Siūloma naudoti dirbtines atsparias sistemas ir Bajeso tinklus.Reikšminiai žodžiai: aeronautikos sistema, atsparus algoritmas, klonavimui atsparus algoritmas, saugūs Bajeso tinklai, projektų valdymas, efektyvumo, kokybiniai ir skrydžių saugos kriterijai, sprendimų priėmimo ir optimizacijos metodai.