Abstract. Approaches to formulation and solution of the problem of choosing the configuration of spacecraft onboard equipment, which ensures autonomous reconfiguration of the spacecraft, are considered. Two directions for solving such problems are singled out: based on the formalization of the Markov decision process (MDP) and using dynamic programming and machine learning, and on the basis of account for structural and functional dependencies of the spacecraft onboard control complex (onboard equipment) elements with application of general logical-probabilistic approach (including machine representation of functional integrity scheme) and the theory of structural dynamics of complex systems. The MDP-based approach is presented by foreign authors who consider reconfiguration in the context of scheduling sessions of the target spacecraft equipment. The approach based on structural-functional dependencies is formulated, first of all, as a synthesis of a new structural state of the spacecraft after a failure occurs. At the same time, both domestic and foreign authors, independently of each other, come to a specific formulation of the problem of choosing the configuration of onboard equipment, while assuming that the choice of the necessary rational configuration is carried out under specified conditions, defined as the required modes of functioning of the spacecraft and the limitations associated with them.

Keywords: structural-functional reconfiguration, Markov decision process, artificial neural networks, probabilistic polynomial, survivability, spacecraft, onboard equipment, motion control system

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