Model-algorithmic support for socio-cyber- physical systems scheduling functioning

Abstract

Goal. Development of model-algorithmic support for solving problems of socio-cyber-physical systems scheduling. Materials and methods. To achieve this goal, the authors used the methodology of the theory of structural dynamics proactive control of complex objects and the system-neocybernetic approach. Results. An approach (model and algorithm) is proposed, within the framework of which it is possible to approach the formalization and solution of multicriteria selection problems arising at various stages of the life cycle of complex organizational and technical complexes from a unified position. Such tasks, first of all, include the task of dynamic structural and functional synthesis of socio-cyber- physical systems schedules. Conclusion. The approach considered in the article is based on the concepts of system modeling and multi-criteria selection.