A statistical synthesis of stable design choices for flying vehicle design processes in conditions of multiple-factor uncertainty

Аuthors

Balyk V. M.^*, Kalutsky N. S.

Moscow Aviation Institute (National Research University), 4, Volokolamskoe shosse, Moscow, А-80, GSP-3, 125993, Russia

*e-mail: balikv@gmail.com

Abstract

Stability conditions are formulated for design decisions in respect of multiple-factor uncertainty caused by target and environment states. Considerations are introduced for design choices, which are stable to the
multiple-factor uncertainty. These choices are presented as dynamically varying    statistical sampling. Regularization rules are derived for initial set of the design choices basing on the Lipschitz condition. A toy missile control problem is solved using the regularization rules to demonstrate peculiarities of selection process for the stable design choice in conditions of multiple-factor
uncertainty caused with the target behavior. A layout is suggested to synthesize statistically stable algorithmic and software control solutions under the multiple-factor uncertainty. An appropriate software tools are developed to support design of stable control laws for unmanned vehicles operating in multiple-factor uncertainty conditions.