Grid methods of investigation of dynamic stochastic systems using simulation models allow to successfully applying the methods of identification theory to describe the region of efficiency of the system under investigation. Within this region, the values of quality indices are better than in other region. The process of selection of identification algorithm is not formalized. Depending on the task, the set of criteria by which the algorithms are elected, may be different. The method of algorithm selection by several criteria is proposed in the article

In this article, we investigated the effectiveness of the communication factor on the number of collisions in a crowd of autonomous mobile robots. The proposed method allows locating the message senders based on network models of local positioning. Developed software simulator implements described algorithms of robot movement model. The results of performed simulation experiments confirm the usefulness of our method.

A modern approach to improving the theory of classification and clustering of fuzzy features of uniquely identifiable objects is proposed, based on the expansion of the existing set-theoretic mathematical apparatus.

The problems of increasing the accuracy of the measured parameters in large-scale information control systems are considered. It is shown that the use of additional measurement channels and additional indirect indicators can improve the accuracy of the measured values and estimates of the parameters of the mathematical models of the investigated system. The use of additional indirect indicators allows reducing the size of the system and the number of measuring equipment, without lowering the accuracy of measured parameters and technical and economic indicators.

In the conditions of digital transformation the aspects of changing the rules of the game, breakthrough and disruptive management acquire special urgency. Attention is focused on the issues of promptness of collective decisions making by a distribution of participants and in the condition of the uncertainty of the situation. The aspects of expert participation play a special role. Priority is given to sociohumanitarian and cognitive components in management. It is noted that the complexity of the semantics of the models generated by taking into account these components is tens of times higher (the cardinal number) of the complexity of traditional semantics formed with the use of formalized and logical tools. In these conditions, situational development centers and methods of artificial intelligence become the main core and "end-to-end" (through) technology for ensuring strategic planning and breakthrough management. A new quality appears in the theory and practice of situational management. It requires rapid consolidation of decision-makers, ensuring synergy and convergence of collective action at all levels of government. This work reflects the features of such a breakthrough, disruptive situational management.