The paper proposes an approach to and solves the problem of controlling a robot by using neural interface technology, describes the general scheme and working principle of the main idea of non-invasive neural interface control of a robot using the original convolutional neural network. The authors describe the principles of an original convolutional neural network and an approach to the modern network design, present a model of a one-dimensional convolutional network based on the principles of a human inner ear. The structure of a software package is proposed. The results of a comparison of algorithms for the analysis of human brain evoked potentials used in the design of brain-computer interfaces are presented. The authors used the Fourier transform algorithm and the multidimensional synchronization index (MSI) algorithm in various modifications to perform the experiment. Analysis of the initial signal, the accumulated evoked potential, in addition to the accumulated evoked potential spectrum were proposed as variations. Linear correlation was also evaluated with analysis using a user-derived reference signal sample and various variations of wavelet filtering. In addition, model signals, which were a combination of white noise and a harmonic oscillation simulating a stable visual evoked potential, were used. The best results (error rate 

An approach to the identification of non-linear maximally stationary systems is proposed, based on the use of a consistent measure of dependence of the input and output processes of the system under study. In accordance with the conventional terminology, a measure of dependence between two random values (processes) is referred to as consistent, if it vanishes if and only if the values (processes) are stochastically independent. Within the consideration subject, such a measure of dependence is the maximal correlation. In turn, the maximally stationary systems are those, for which the first eigenfunctions, corresponding to the largest in the absolute value first eigenvalue of the joint probability distribution density expansion, do not depend on the time.

The problem of control for the mobile cart with two traction rear wheels and free front wheel is considered in the paper. The traction wheels are governed by two mechanically independent direct current drive motor. The free wheel can turn around your mounting point. The problem of the desired path following with given linear velocity is stated in the paper under assumption that mobile robot is interfered by external perturbations, which physically represent the external force actions, wind blowing, friction force and so on. Due to this aim, the combined control law, which consists of continuous and discontinuous components, is synthesized in the paper. The discontinuous term provides oscillation mode of the transient process in the closed system, and continuous component leads to decaying of the oscillation amplitude of the output variables asymptotically to zero. The simulation results depict the efficiency of the designed algorithm.

Scheduling theory is a major field in operations research and discrete applied mathematics. This paper focuses on several recent developments in scheduling theory and a broad range of new applications – from multiagent scheduling to robots in communication networks. The survey presents a personal view on current trends, critical issues, strengths and limitations of this advantageous field.

В данной статье описаны принципы сужения локальной навигационной системы для привязной высотной платформы. В частности, здесь рассматривается навигационная система для платформы «Альбатрос», разработанная учеными Института проблем управления РАН. Предлагается гибридная навигационная система. Система включает миллиметровую и оптическую подсистемы. Миллиметровая система эффективно работает на высотах выше 5–10, а оптическая система эффективно работает на высотах ниже 5–10. Причем каждый из них можно использовать как резервную копию в соответствующем диапазоне.