bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Notional Model of Knowledge Representation
Authors: Vykhovanets V. S. 
Published: May 2021

Abstract
The article describes a model of knowledge, called the notional model. A notion is a thought about a certain unique representation from the subject domain. The notional model uses notion-signs, notion-associations and notion-generalizations that are formed by primary mental abstractions: identification, generalization and association, respectively. The notional model consists of the notional structure and the contents of the notions. The notional structure describes each notion as a set of other notions united by one of the primary mental abstractions. The content of the notion is described using enumerating and resolving procedures. The notional model is semantically invariant, improves the transparency of the subject domain, and allows you to create the knowledge base with a linear estimate of a query execution time.
Differential game of alternating pursuit of three targets by two pursuers with a Time-type criterion
Authors: Rubinovich Evgeny 
Published: May 2021

Abstract
On the plane, we consider the differential game of two identical pursuers against three consistently evading players (targets) forming a coalition. Players’ movements are simple. The speed of the pursuers is limited to one, the speed of the targets is limited by a given constant of less than one. At the beginning of the game, the pursuers and targets are localized at two different points on the plane: the pursuers are at a certain point P
0, and the targets are at a point E
0. A game is conducted with complete information. The task of the pursuers is to pinpoint all the targets in the shortest possible time. The task of evading players is the opposite.
Automatic Control Of Inverters In Electrical Networks: Capture Range And Cycle Slipping
Authors: Kuznetsov N.V. , Lobachev M.Y. , Yuldashev M.V. , Yuldashev R.V. , Volskiy S.I. , Sorokin D.A. 
Published: May 2021

Abstract
The paper discusses one of the issues of interaction of inverter electrical systems with control systems based on special models of the phase-locked loop, called Enhanced Phase-Locked Loop.
G.A. Leonov: eminent scholar, admired teacher and unconventional administrator
Authors: Abramovich S. , Kuznetsov N. , Razov A. 
Published: May 2021

Abstract
Gennady Alekseevich Leonov (1947 – 2018) – Corresponding member of the Russian Academy of Sciences, Foreign Member of the Finnish Academy of Science and Letters, a Council Member of International Federation of Automatic Control, the Highly Cited Mathematician of the Russian Federation, a bearer of many notable awards – passed away on April 23, 2018 after a short battle with a grievous illness. This paper is written in his memory. The authors remember Prof. Leonov as eminent scholar, admired teacher, and unconventional administrator.
Effect of adaptation rate value on convergence of gradient descent-based identification methods
Authors: Glushchenko A.I. , Petrov V.A. , Lastochkin K.A. 
Published: May 2021

Abstract
In this study, one of the main problems of practical implementation of adaptive control and identification systems is considered. This is the problem of choice of an adaptation rate value to provide the required convergence rate of linear regression parameters. The most widely applied method to identify such regression parameter values is the gradient descent (GD) one. But the adaptation rate is usually chosen manually for it and kept constant in the course of the plant functioning. The recursive least-squares (RLS) method can be used instead of GD as it provides the developer with the equation to adjust the adaptation rate automatically, taking into account the current value of the regressor. Therefore, the aim of this research is to compare the known properties of GD and RLS methods and demonstrate the capability of the RLS to provide a constant convergence rate under the condition of the time-varying regressor.
Optimal Dynamic Measurement Method Using Digital Moving Average Filter
Authors: Shestakov A.L. , Keller A.V. 
Published: May 2021

Abstract
The theory of optimal dynamic measurements is based on the use of methods of optimal control theory to find a dynamically distorted input signal from the observed output signal. The model of the measuring system contains a Leontief type system, the initial Showalter–Sidorov condition. Inertia of the measuring system and interference lead to distortion of the input signal. We present a numerical method to use a digital moving average filter for the observed signal with subsequent application of the method of optimal dynamic measurement, as well as the results of computational experiments.
Projection-operator optimization of controls of dynamic objects
Authors: Kozlov V.N. , Efremov A.A. 
Published: May 2021

Abstract
The principles of application of projection-operator methods of mathematical programming for calculating optimal controls based on “immersion of control problems” in problems of finite-dimensional mathematical programming are formulated. The results obtained illustrate the technique of qualitative study of the stability of systems with optimizing feedback based on the contraction mapping principle of functional analysis. The considered technique allows one to synthesize locally optimal systems with nonlinear control objects. In this case, nonlinear models of objects are taken into account in the right-hand sides of linear manifolds, and the projection operator forms nonlinear optimal controls with feedback taking into account the operators of nonlinearities of the object.
INTELLECTUAL GRAPH MODELS FOR RELATED DATA PROCESSING
Authors: Arseniev D , Baskakov D. , Shkodyrev V. 
Published: May 2021

Abstract
In connection with the wide spreading of various intelligent sensors, IoT devices, smartphones, autonomous transport systems, various industrial and home automation systems, an unprecedented amount of data is generated, including those intelligently linked to each other. Linked data allows you to build complex and varied relationships between objects and subjects of the real world. Unfortunately, modern big data processing systems and machine learning models are extremely poorly suited for working with such dynamically linked data, especially in the case of real-time systems. We discuss current and future-proof approaches to working with such data using graph analysis models.
Multi-dimensional object estimation by its deviation from goal
Authors: Mikoni S.V. , Burakov D. P. 
Published: May 2021

Abstract
In the paper, an approach for estimation of objects relative to specified target that was proposed by Wierzbicki A. P. is analyzed. It is asserted that this approach does not contradict with using utility (value) functions and weight coefficients at generalizing function for solving the same task. This assertion is justified by a mutual inverse relationship between functions estimating the goal achievement and deviation from a goal. It is shown that the deviation functions additionally allow solving such problems as ordering objects by penalties and bonuses, as well as by deviation from the norm. Using a simple medical example, the results of ranking patients by deviation from the norm, obtained by the criterion of minimax optimization and the additive generalizing function, are compared with equal and different values of the weighting coefficients of the indicators.
Networks of Autonomous Real-Time Agents in Environments with Counteraction: Features and Components of the Model
Authors: Gorodetsky V. , Panteleev M. 
Published: May 2021

Abstract
A group behavior and control model in a system consisting of autonomous real-world and Internet objects with opposition is considered. The urgency of the problem is due to the growing role of Internet technologies in competition models in economics, politics, computer security, etc. The problem model is analyzed in the context of the Boyd Cycle. The tasks of the cycle phases are formulated, a multi-agent model of the behavior of autonomous objects and the digital twin of the external environment in the control loop is substantiated. The necessity of using the model of a unified semantic knowledge and data space is argued.
Robust Control of a Multi-Degree-of-Freedom Electromechanical Plant with Adaptive Disturbance Compensation
Authors: Quang Le Hong , Putov V. V. , Sheludko V. N. 
Published: May 2021

Abstract
This paper considers the problem of control of a multi-degree-of-freedom (multi-DOF) nonlinear electromechanical plant with elastic properties and an external unknown disturbance. The unknown disturbance is assumed to be deterministic and is represented as an output of a linear autonomous model with unknown constant parameters. To solve the problem of adaptive disturbance compensation, an adaptive observer of an unknown deterministic disturbance is applied. A nonlinear robust control of a multi-DOF elastic electromechanical plant, synthesized on the basis of the integrator backstepping method and combined with adaptive robust disturbance compensation, is also being developed. The simulation of the designed nonlinear control of a multi-DOF plant with adaptive robust compensation of disturbances is performed using the MATLAB / Simulink software.
Study into Lorenz dynamic system
Authors: Belskii G.V. , Prikhodko I.A. , Vtorov V.B. , Vasiliev E.A. 
Published: May 2021

Abstract
The examination of chaotic phenomena origination and their dynamics is a promising area of studies into technical malfunction forecasting. This paper provides analysis of the Lorenz system on a basis of the expansion with the ‘Caterpillar’-SSA method. The trend, periodic and non-cyclic components are determined. The necessary number of principal components for time series reconstruction on a basis of Lorenz system is obtained.
Model of Data Collection Control in the Internet of Things on the Basis of Social Network Technologies
Authors: Zhukova N A , Thaw A M , Evnevich E L 
Published: May 2021

Abstract
The paper deals with the issues of data collection in the dynamic Internet of Things network. An approach proposed is based on the models and methods of social networks analysis along with clustering methods commonly used in this case. The developed hybrid model tracks contacts between nodes of the network thus creating “social relationships” for each node and estimates the number and the frequency of “social contacts” characterizing the degree of “friendships”. After fixing the contacts between nodes the model takes into consideration only the nodes connected by “friendship” relation. Data collection based on “social structure” provides higher security level and shows the enhancement as regards energy saving and delays of data transfer.
The methodological basis and the technique for objectifying logical results of systems analysis in production sphere
Authors: Lukyanova L.M. , Fedorchenko L.N. , Lukyanova N.Y. 
Published: May 2021

Abstract
Significant weight of subjective models used in the systems analysis is discussed. It reduces degree of correctness (coherence and completeness) of planning and managerial decisions as results of the systems analysis in the production sphere and causes costs of production in the decisions realization. That is why a methodological basis for decision-makers objectifying the systems analysis results is so urgent. It is based on the original system-goal approach, logical and linguistic models of goals, semantic model of structure of goals and semiotic model of reasoning about goals. Three main tasks for objectifying the results of systems analysis are set. Schemes, the main procedures, instructions and examples for the task solution are given.
Modeling of controlled biological treatment processes in the bioreactor of University of Cape Town
Authors: Grudyaeva E.K. , Dushin S.E. 
Published: May 2021

Abstract
The paper is devoted to the study of processes in the bioreactor with the structural scheme of the University of Cape Town. The ASM1 mathematical model was used to study purification processes. Operating values of recycle flow rates are determined depending on input flow rate required for effective purification of ammonium nitrogen, and a method is proposed to expand the range of control of these values in combination with regulation of oxygen supply to the aerobic zone of the reactor. The specific role of the aerobic zone in the UCT reactor having a key role and affecting both nitrification and denitrification due to nitrate recycling is shown.
On the compatibility of topologies of parallel tasks and computing systems
Authors: Zadorozhny A.F. , Melent’ev V.A. 
Published: May 2021

Abstract
Aspects of compatibility of topologies of parallel computing systems and tasks are investigated. The introduction of appropriate indexes based on the original topological model of parallel computations and on the nontraditional description of a graph by its projections is proposed and elucidated. On the example of hypercubic computing system (CS) and tasks with ring and star information topologies, we demonstrate determining the indexes and their use in a comparative analysis of the applicability of interconnect with a given topology for solving tasks with the same and different types of information topologies.
Digital platform for forest resources monitoring in the BAIKAL natural territory
Authors: Bychkov I V , Ruzhnikov G M , Fedorov R K , Popova A K 
Published: May 2021

Abstract
Forest is the most important natural resource of the Baikal natural territory (BNT), which ensures sustainable development of the ecological system of the Lake Baikal, performing water protection, soil protection and water regulation functions. The article describes the issues of transition to a new technological order - the creation of a digital monitoring platform to support the rational use of forests. We formulate characteristics of the current state of forests and analyze the problems of forest resources monitoring in the BNT. We consider the types of digital platforms of different levels and propose basic requirements for forest digital monitoring.
Human activity recognition by wearable sensors in the smart home control problem
Authors: Nebogatikov I.Y. , Soloviev I.P. 
Published: May 2021

Abstract
In this work we analyze and compare machine learning methods for recognizing human activity in the context of smart home by using data obtained from an optical heartbeat sensor and an accelerometer embedded in a smart watch, and find a number of activity classes that can be predicted. The conclusion is made that for such type of problems the random forest method with about 10 classes shows the best results.
Comparison of methods for automatic classification of Russian-language texts
Authors: Karuna E.N. , Sokolov P.V. 
Published: May 2021

Abstract
In this paper, a comparative analysis of methods for automatic classification of text information using various machine learning algorithms based on artificial neural networks is carried out. The paper presents results of the text classification considering various ways of a vector space formation, such as bag-of-words, n-gram, word embedding, and various architectures of neural networks. The research is based on the text corpus in Russian.
Control of information security monitoring perimeter of industrial facilities
Authors: Fatkieva R. , Evnevich E. 
Published: May 2021

Abstract
In the process of monitoring industrial facilities information security, the sets of heterogeneous data are generated by different monitoring tools which are to be processed according to various regulatory documents not always compatible with each other. Definition of a set of security characteristics based on perimeter monitoring data and determination of security level carried out mostly by calculating integral indicator do not take into account some aspects of security. The method is proposed for the harmonization of industrial facilities interaction and for the formation of a set of security indicators on the basis of formalized subject domain description and unified data description scheme.
Information technologies in the management of technical systems - development of the engineering education
Authors: Kotova E.E. , Korablev Yu.A. , Pisarev A.S. , Shestopalov M.Yu. 
Published: May 2021

Abstract
The current level of production development requires the training of qualified specialists capable of solving complex scientific and technical problems in the field of technical systems management using rapidly changing information technologies. Consequently, the training of professional personnel should provide for the needs of developers of advanced control systems for complex dynamic objects. This problem is successfully solved at the Department of Automation and Control Processes (ACP department) in ETU “LETI”. Students training is carried out in two complementary directions “Management in technical systems” and “Information systems and technologies”. Long-term experience proves the advisability of choosing such an approach in the context of rapidly developing technologies. The report contains studies based on the application of data analysis methods and models that dynamically integrate the information necessary for adaptive management of the process of advanced specialists training. The dataset includes: actual employers’ data, production needs, on the one hand, data obtained during the educational process, on the other hand. At the same time, the data set includes data that enable students to assess the effectiveness of the educational services provision, the level of professional training in the areas of specialty. Comprehensive analysis of data integrated in a unified environment, based on the methods of intelligent systems, analytics and knowledge engineering, proves the validity of choosing this approach in the learning process.
Background and prospects for creation of automatically controlled large ekranoplane
Authors: Nebylov A.V. , Nebylov V. A. , Panferov A. I. 
Published: May 2021

Abstract
The Orlan (Russia) and the Pelican Ultra (USA) ekranoplane projects are analyzed and compared in terms of their design features and applications. Particular attention is paid to the challenges the designers faced while creating ekranoplanes and their control systems. The originality of the tasks that have to be solved by modern and advanced control systems of ekranoplanes, is considered.
Features of synthesis of ekranoplane control systems
Authors: Nebylov A.V. , Panferov A. I. , Brodsky S. A. 
Published: May 2021

Abstract
The article deals with the theory of designing ekranoplane control systems, taking into account the features of their dynamic properties and operating conditions. Flying at low altitude over an uneven surface is accompanied by powerful periodic and pulse loads caused by the roughness of the underlying surface. In addition, with small changes in altitude, the controllability and stability of the ekranoplane changes significantly up to loss of stability. For the synthesis of the ekranoplane control system, a new method for calculating a nonlinear mathematical model of an ekranoplane based on the CFD Comsol Multiphysics and Matlab programs is proposed. The results of simulation are presented.
Controlling the security of the airport airspace using the digital twin
Authors: Yurkevich E.V. , Stepanovskaya I.A. 
Published: May 2021

Abstract
The article aims to develop a neural model for digital air traffic control. The proposed approach uses the concept of socio-cyber-physical self-organization of distributed organizational and technical system, whose components are connected to 4G and 5G generation wireless networks. The advantage of the approach is complex integration of promising analytical management principles and their representation in hybrid intellect.
Optimization-based method for interplanetary spacecrafts passive navigation
Authors: Sazonov V.V. , Samylovskiy I.A. 
Published: May 2021

Abstract
During deep space missions, planning and realization of dynamic operations (orbit and attitude correction manoeuvres, landing in target areas, etc.) require fast determination of spacecraft position. Due to the objective difficulties of interplanetary communication, it is interesting to solve this problem using the data from onboard sensors (in particular, the optical ones). What is more, most “transportable” of these devices give out “angular” (or quaternion) representation of reference objects’ positions instead of rectangular coordinates or at least distances. Thus, one faces the problem of determination of spacecraft state vector (in a rectangular coordinate system) from the data in “angular” coordinates in the coordinate system of measurement devices. We suggest to determine the spacecraft state vector at the required time as a solution to the problem of minimizing the quadratic cost that determines the difference between the “simulated” measurements (i.e., those that would have been made on the “simulated” trajectory generated by a current state vector approximation) and the real ones (i.e., those that were obtained from on-board sensors). To find a solution, we use a software implementation of the Levenberg-Marquardt method and a prototype of a software package that allows one to configure spacecraft sensors set and the measurement series parameters.
Mathematical model of free-flying space manipulation robot when approaching a non-cooperative spacecraft
Authors: Kozlova N.Yu. , Fomichev A.V. 
Published: May 2021

Abstract
The paper investigates the service satellite control system when approaching a non-cooperative spacecraft in the state of uncontrollable motion. The service satellite control system is considered as a two-level multichannel control system, and multicriteria optimization methods with cross-links are developed. The mathematical model of the control system for a free-flying space manipulation robot at the guidance and stabilization phase is proposed. The efficiency criteria are presented.
Autonomous attitude and orbit control of a space robot inspecting a geostationary satellite
Authors: Somov Ye , Butyrin S , Somov S 
Published: May 2021

Abstract
Methods for the motion control of a space robot flying by an information geostationary satellite during visual inspection of its technical state are considered. The robot attitude and orbit control system employs electric propulsion unit with 8 catalytic propulsion engines and pulse-width modulation of their thrust, and also a gyro moment cluster based on 4 gyrodines with digital control. The results of computer simulation demonstrating the effectiveness of the developed discrete control algorithms are presented.
Set of dynamic restrictions imposed on robotic arm-based motion simulator phase coordinates
Authors: Lemak S. S. , Chertopolokhov V. A. , Makarov M. A. 
Published: May 2021

Abstract
The paper discusses the motion cues simulation problem for aerospace applications. An algorithm was suggested for controlling a motion stand based on an industrial robotic manipulator. The paper provides simple mathematical model reflecting the movements of manipulator’s endpoint in the vertical plane with the base performing rotational movements and presents a restriction set in the configuration space. We provide an algorithm for manipulator’s stopping and returning to the start position of a motion simulation process active phase. A set of restrictions for the motion simulation active phase is also obtained.
Convolutional neural networks for solving problems of signal processing from segmental distributed fiber optic measuring networks
Authors: Kulchin Yu. N. , Kim A.Yu. 
Published: May 2021

Abstract
The work is devoted to the problem of critical situations recognition in real-time and localization of increased acoustic vibration in critical objects, based on the signals from segmental distributed fiber-optic measuring networks (DFOMN). To solve the problem, an architecture is proposed, and a model of a situational approach to using the Convolutional Neural Network as an effective classification method for processing large data arrays of the DFOMN is developed.