The purpose of the article is to increase the efficiency of the use of an unmanned aerial vehicle (UAV), when pointing it at high-speed and highly maneuverable targets, through the use of a combined method of creating control forces and moments, as well as the synthesis of an onboard stabilization system (UAV), based on a multidimensional nonlinear dynamic model.

The combined control algorithm is based on a combination of aerodynamic and gas-dynamic methods of creating forces and moments. In this case, switching modes from aerodynamic to gas-dynamic control are taken into account, including the features of the synthesis of the stabilization system on the bases of the synergetic control theory and the processes of its dynamics.

Simulated mathematical modeling of UAVs with a combined control method and a synthesized controller was carried out. The synthesis of the onboard stabilization system controller is based on the introduction of attractor states into the space, which ensure the formation of the necessary UAV properties. The synthesized controller implements the required technological tasks and the stability of the aircraft.

The need to use the aerodynamic control method and synthesis of the stabilization system regulator is due to the growth of the tactical and technical characteristics of aerospace attack facilities, which will ensure high efficiency of UAV application for high-speed and highly maneuverable targets.

Creation of new digital technologies let automate the reproduction of text and graphic information, led to the creation and development of the digital printing. Digital printing is a technology for producing prints in the printer based on the original layout, created as corresponding codes with a computer. One of the technologies of digital printing is a computer-to-press and one of the devices in this direction is risograph. The risograph printing quality is worse than offset printing. The text is printing with medium sharpness and images remind photos in old newspapers and require special preparation. But risograph is the most profitable solution for small and medium circulations from 50 up to 1000 sheets. Wide usage of risograph printing in typographies demands increase performance of the equipment with the high print quality of digital images. To improve the quality of risographic printing, the creation of methods is required to form the initial indicators of the original layout (clarity, correct transmission of halftones, contrast). At the same time, the result of obtaining high-quality images obtained by printing on a risograph is affected by surface microgeometry and the physical and mechanical properties of paper. So, the optical density of the ink layer on the print is largely determined by the structure of the sections of paper, in particular, absorbency and porosity. To obtain high-quality images on prints, it is necessary not only to customize the original layout, but also to select paper with such characteristics that would allow you to get the best result when printing on a risograph. Since the risograph occupies an intermediate place in quality between copying equipment and laser printing, a laser print is taken as the standard for print quality. And one of the tasks of the quality of risographic prints is to increase it to the quality of laser printing.

The purpose of this work is to analyze methods, approaches, technologies, and means of Internet marketing (IM), using both known technologies and developing new ones: intellectual and blockchain. The objectives of the analysis are to identify trends in the development of Internet marketing in the digital economy with the use of intelligent and blockchain technologies, and to develop new structural solutions.

The analysis of the use of intelligent technologies in marketing activities (MA) using cloud computing (CC) is carried out and its features are determined. Proposals have developed for improving Internet marketing in an integrated environment (traditional network and cloud one) using intelligent and blockchain technologies. It is proposed to develop IA on the basis of a family of intelligent agents for building intelligent marketing information systems (IMIS). The use of blockchain technology in IM for controlling resources and marketing operations is shown. A new concept for the development of IM and IIMS is presented, on the basis of which approaches to the organization of IMIS for communication between enterprises, research institutes and universities are developed. The structure of an intelligent portal based on multi-agent technology that unites developers and consumers of startups has been developed. Blockchain technology is used to control and guarantee the authorship of startups and signed contracts.

As IM development trend, the development of models for joint activity of intelligent agents in the cloud environment to support decision-making using blockchain technology to legally secure the authorship of innovations is proposed. There are two areas of development of intelligent marketing systems: adaptation in digital markets and support for innovative activities with the consolidation of contracts based on blockchain technology.

The problem of evaluating the information which is present in random signals from various sources-meters is considered. It is assumed that the random process which is evaluated and the meter output according mathematical description of the problem are vector random processes. In this case, the dimension of the vector of the measurement can be larger than the dimension of the vector of the process being evaluated. The analysis of analytical methods and algorithms of the estimation that based on the determination of the main probabilistic characteristics of a random process by both the a priori and the a posteriori methods with various optimality criteria is carried out. Based on the analysis, the problem of complexing of the meters of the random process is considered according the proposed criterion for the maximum of posterior verisimilitude, combining the criterion of maximum verisimilitude and the criterion of maximum the a posteriori probability, general methodology complexing is developed. Proposed example of the complexing shows the efficiency of the proposed method. This approach to the construction of the algorithms of the evaluation for multidimensional random processes allows to increase the accuracy of estimation, since it takes into account additional information and its complex processing.

This article is devoted to the research of the properties of syndromes of errors in Reed-Solomon codes. RS-codes are built on non-binary alphabets. So, unlike BCH-codes, RS-codes contain an extremely large variety of correctable errors. To correct these errors, a systematic application of automorphisms of codes is proposed. Characteristic automorphisms of RS-codes are cyclic and affine substitutions forming cyclic groups Г and A whose orders coincide with the code length. Cyclic and affine substitutions commute with each other and generate a joint АГ group, what is the product of subgroups A and Г. These three groups act on the space of error vectors of RS-codes, breaking this space into three types of error orbits. As a rule, these orbits are complete and contain the maximum possible number of errors. Syndromes are the main indicator of the presence of errors in each message received by the information system, a means of accurately identifying these errors. The specificity of syndromes of double errors in RS-codes is investigated. Determined that syndrome spectrums of error orbits are also complete in most cases. Proved that the structure of the syndrome spectrums copies the structure of the orbits themselves, which in turn copy the structure of groups of code automorphisms. The results obtained are a significant contribution to the construction of the theory of syndrome norms for RS-codes.

The article discusses the methodological strategies of integrated computer logistics in the field of artificial intelligence, focused on the tasks of the cognitive economy. The mechanism of the methodological synthesis of disciplinary structures into the system of cognitive sciences and the advantages research programs arising from this mechanism are shown.

Using mobile devices around the world has already become commonplace. There are a huge number of applications that greatly simplify everyday life: from simple planning of actions and events to paying for goods by simply touching the terminal with a mobile device. That is why the problem of introducing a mobile training application into the educational process is quite relevant. The purpose of this study is to increase the efficiency of the learning process through the use of the adaptive mobile application CATS. The proposed adaptability algorithm will allow you to create a unique training program that will build on existing knowledge and the level of perception of learning material for students. It is proposed to use the analysis of expert systems as mathematical methods. By formalizing the intellectual processes that are carried out by both the teacher and the student, it is possible to automate a certain part of the teacher’s functions, reduce manual labor costs, which will make it easier to control the educational process, as well as make the learning process more effective. The software of the mobile application was created in the environment of Microsoft Visual Studio Community (Mac) in C# programming language and Xamarin framework. The proposed development is implemented in the educational process of the Belarusian National Technical University, covers all the main components of the learning process, including working with electronic educational and methodical complexes, passing tests, downloading the required information. The mobile application allows you to adapt to various sizes of devices, implemented using modern technologies with adaptation for Android and iOS operating systems.