The problem of adaptive compensation of an external previously unknown disturbance affecting a linear object with delays in state and control signal is solved. The disturbance is not coordinated with the control, and only the output variable under control is accessible for direct measurements. The disturbance is modeled by an autonomous dynamic model with unknown parameters, and the control law is formed based on the principle of the internal model. The special parameterization of the external disturbance and the control error expansion scheme used allow to ensure the limitedness of all signals and asymptotic fulfillment of the control goal. Theoretical statements are illustrated by results of computer simulation.

The problem of selecting dangerous man-made objects from a set of those observed by a spacecraft monitoring near-Earth space is considered. An approach is proposed that allows making a decision in the general case when the number of series of observations for a given area is more than one. In this case, the composition of private selective features of various objects and the number of their measurements under different observation conditions may differ. The decision made ensures the maximum of the average a posteriori probability that the selected observed object is the most dangerous.

Using mathematical modeling, the accuracy of estimating motion parameters of the center of mass of a nonoperated spacecraft located in the vicinity of established standing point of the geostationary orbit, is investigated. The simulation is performed on the basis of measurements of the orbital object angular position relative to the stars, carried out with the use of on-board optoelectronic devices of a service space robot. The estimation of the motion parameters of the non–operated spacecraft center of mass is obtained using the recurrent least squares method when processing measurements of the star-spacecraft angles performed by the space robot optoelectronic devices. It is established that the problem of determining the parameters of spacecraft motion can be solved with errors of less than ± 0.6 m in coordinates and ± 0.2 mm/s in the velocity vector components. To achieve these characteristics, the on–board control system of the space robot must contain optoelectronic equipment that provides a standard error of measuring the starspacecraft angles, not exceeding 1”.

The key features of the ground software package for control and communication for missions of SamSat nanosatellites, developed on the basis of the experience of flight and design tests of the SamSat-ION nanosatellite, are presented. The ground software package consists of: a block of modules for controlling the station equipment; a block of universal modules independent of the station equipment; a block of server modules for calculating the parameters of movement and communication with the satellite. The developed software package achieves full automation of the processes of planning and conducting communication sessions, which allows it to be used as a means of teaching students spacecraft control technologies. The ability to work with several close-flying satellites has been implemented, which distinguishes the software package from freely distributed programs.

When solving the autonomous uninhabited underwater vehicles collaborative navigation problem, the following algorithms were compared in terms of accuracy, consistency and computational complexity: the classically constructed extended Kalman filter, the extended Kalman filter, additionally using the procedure for rejecting abnormal emissions in measurement errors and the maximum correntropy Kalman filter. The comparison was carried out under conditions of measurement noise, both Gaussian and non-Gaussian, containing pulse-type interference.

A recursive algorithm is developed to determine coordinates of an autonomous underwater vehicle (AUV) using measurements of ranges to acoustic beacons, taken at different times, together with relative lag and course indicator data. It is assumed that a priori coordinates of the AUV are unknown, and the unambiguous navigation solution cannot be obtained from one-shot measurements due to a sparse beacon location. The algorithm is started upon the first receipt of simultaneous measurements from two beacons. Joint processing of current and saved measurements before the algorithm launch is provided using the Kalman filter. The ambiguity of the AUV location is resolved according to the ratio of a posteriori probabilities of alternatives. The results of modeling and processing of field data, as well as performance assessments, confirming the efficiency of the developed algorithm are presented.

The features of monitoring the wear of gas pipeline surface and the steering rod of the equipment are considered. An easy-to-use algorithm for automatic detection of damage to the main pipeline based on vibration data is proposed. The use of the modal analysis method, data cleaning procedure, damage detection algorithm based on the Mahalanobis distance squared method, and construction of logistic curves allow for automation of the process of steering rod monitoring. It is shown that with an increase in the damage area and an increase in the modal attenuation coefficient from 5/8L to 8/10L, the proportion of true positive results is 100%, and the predictive ability of the model increases with the use of a moving average of the modal attenuation.

A method is proposed for measuring irregularities on the surface both during manufacturing (e.g., roughness) and during testing and operation of parts (e.g., contact fatigue, corrosion, cavitation, impact and other damage). It is proposed to solve this problem using a conventional digital microscope equipped with one light source, the beam of which coincides with the optical axis at its inclined position. Algorithms for analyzing characteristic images of irregularities and methods for their assessment using the ImageJ tool are developed. Algorithms for calculating the depth/height of irregularities based on images obtained at an inclined position of the optical axis are substantiated. Examples of roughness and damage assessment are demonstrated.

The relevance of the problem of selecting informative features that allow detecting possible cardiac arrhythmias and classifying arrhythmias is shown. It is proposed to use eight informative features of the electrocardiocomplex. It is shown that these features can be reduced to two aggregated indicators. The study was conducted on the materials of lead II of the open verified MIT-BIH Arrhythmia DB database and the database of multichannel ECGs of the St. Petersburg Institute of Cardiology Technology “INKART”. The results of the classification using the support vector method demonstrate the validity of the selected space of informative features for classifying various states of the cardiac rhythm.