The features of data transmission in infocommunication systems, including in the development of mobile node networks, are considered. The aim of the work is to solve the problem of synchronizing the content in the area description map between individual mobile nodes of the mobile network. A model of content delivery in mobile nodes networks in conditions of limited resources, is developed. The model advantage is provision of the possibility of guaranteed data transmission in emergency, adverse, or unfavorable situations. A distinctive feature of the proposed model is the use of active data technology and the ability to actively manage the data delivery plan. The use of the proposed model as the basis of the protocol for transferring data between network nodes makes it possible to flexibly control the delivery of data fragments that are required by the consumer node from the source node in a specific situational situation to eliminate its ignorance. To formalize the model, a set-theoretical record of the structure of synchronized data is applied, accounting for the time stamps of the conditions for the relevance of such data. Based on the description of the content synchronization conditions in the area description map between individual nodes of the mobile network, a software model of such a network is developed to assess the possibility of reducing traffic between nodes.

Results of a study in development of "reference" programs for coordinated functioning and modernization of modern corporate information systems of an industrial enterprise warehouse subsystem of based on the V. G. Boltyansky method of local cross sections and the fuzzy-possibilistic approach, are analyzed. It is shown that with the use of developed special model-algorithmic software, it is possible to account simultaneously for both the dynamics of the main spatial-temporal, technological, technical and organizational constraints, and the expert knowledge associated with the specified stage of the life cycle of a complex object under consideration. It is noted that the work continues previously performed research.

When automating the processes of monitoring a complex technical object state, the basis for the knowledge representation is computational model. The set of principles and methods for constructing the models is extremely rich, due to the diversity of the objects themselves as well as the tasks of monitoring to be completed. Such a situation give rise to uncertainty in the choice of the computational model structure, especially at initial stages of the synthesis of intelligent information technology for monitoring a complex technical object state. However, the correct choice of a strategy for solving problems of this type is facilitated by the transition from constructions of metric spaces to constructions of a more general order - topological spaces. Such an approach is implemented in the creation of an intelligent information technology for the synthesis of the model of the state of a specific object - a pyrometallurgical complex of large-power units - in combination with an apparatus for constructing fuzzy-probability models. At the same time, the use of unique methodology makes it possible to describe a complex multifactor model of technical objects using a semantic network and polynomial transformation of NON-factors, the essence of which is to formalize an expert's verbal knowledge into a mathematical model in the form of an analytical function. The first of the methodologies has the property of universality regardless of the subject type, and the second conveys the complex technical object specifics in its area through experience and expertise.

The problem of tracking control of a quadcopter with unmeasurable pitch and roll angles is solved on the basis of the geometric approach. The enhanced extended observer and the internal model are used to solve the problem. The proposed approach makes it possible to ensure the quadcopter movement in horizontal plane along a trajectory given by a periodic (sinusoidal) function or a second-order polynomial function. Quadcopter motion is characterized by semiglobal asymptotic convergence of the tracking errors to zero.

The problem of station-keeping a surface vessel under the action of sinusoidal disturbances with unknown parameters is solved. The proposed control algorithm is based on the geometric approach with the use of the adaptive internal model and the extended observer. The boundedness of the trajectories of the system and their semiglobal convergence to an arbitrarily small set are analytically proven. The performance of the algorithm is illustrated by computer simulation.

A technique and method of neutralization of exhaust gases of internal combustion engines in the places of tuning, running-in, and adjustment are presented. Results of experimental studies proving the effectiveness of the method of neutralization of carbon dioxide (CO2) in exhaust gases, which allows reducing its concentration to acceptable values in closed spaces, are presented. Algorithmic software and hardware are developed to provide monitoring of the emissions of the main pollutants entering the atmospheric air with exhaust gases of motor transport at the places of their tuning, running-in, and adjustment, which made it possible to increase the safety of the maintenance personnel of service stations.

An instrument is developed on the base of a new method for diagnosing respiratory diseases using the proposed method of dynamic measurements of respiratory parameters (the speed of inhaled and exhaled air flow, pressure or temperature). Such measurements make it possible to register rapid fluctuations containing information about the most subtle processes in the respiratory organs. Based on this method, a device is constructed that registers fluctuations in air pressure in the nasal cavity during breathing, for early diagnosis of respiratory diseases.

Socio-cyber-physical systems are selected as the main object of presented research. These systems are complex interconnected network structures that include, along with real-life physical objects, the corresponding information and control (cybernetic) systems that solve in an automatic (automated) mode of the task of monitoring and managing the specified objects, as well as social (organizational) structures that determine the purpose of these systems and are the main consumers of the results of their activities. A methodological basis for proactive management of these objects is proposed.