ISSN 1991-2927
 

ACP № 2 (56) 2019

Section: "Operational Research"

Aleksandr Kupriianovich Ivanov, Doctor of Engineering, Honoured Worker of Science and Engineering of the Ulyanovsk Region; graduated from the Faculty of Physics of Irkutsk State University; finished his postgraduate studies at Bauman Moscow Higher Technical School and his doctoral studies at Ulyanovsk State Technical University; Chief Staff Scientist at Federal Research-and- Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’; an author of monographs, articles, and manuals in the field of mathematical modeling of hierarchical real-time computer-aided control systems. [e-mail: mars@mv.ru]A. Ivanov

The Optimization Model for Information Processing in Complex Control Systems 000_1.pdf

The first-order differential equation systems describing information processing in complex systems were generated. The analytical solutions for consequent information processing with the random number of stages in cases of situation coverage and control planning in a hierarchical system of any dimension were obtained. With the use of the obtained analytical solutions representing dependencies of each object’s information resources volumes on time and information processing speed, the optimization problems of scarce resources allocation were formulated in order to maximize the information volume in the system over the specified period. The author supposes that the relation between information processing speed and dedicated resources is known from the experience of design and control. The formulated problems are solved by the use of standard algorithms of gradient search. In the general case, the results can be obtained with the use of numerical integration of differential equations. The examples for solving problems of consequent schemes of two- and four-stage information processing were made. Such schemes show the ability to increase the system quality by effective applying of differential models and operations research methods.

Complex systems, differential equations, operations research, information processes.

2016_ 4

Sections: Operational research

Subjects: Automated control systems, Operational research.


Aleksandr Kupriianovich Ivanov, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, Doctor of Engineering, Honoured Worker of Science and Engineering of the Ulyanovsk Region; graduated from the Faculty of Physics at Irkutsk State University; finished his postgraduate studies at Bauman Moscow Higher Technical School and his doctoral studies at Ulyanovsk State Technical University; Chief Staff Scientist at Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’; an author of monographs, articles, and a manual in the field of mathematical modeling of hierarchical real-time computer-aided control systems. [e-mail: mars@mv.ru]A. Ivanov,

Andrei Evgenevich Kukin, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, Postgraduate Student at the Department of Telecommunication Technologies and Networks of Ulyanovsk State University; graduated from the Faculty of Information Technologies of Ulyanovsk State University; Software Engineer at FRPC JSC ‘RPA ‘Mars’; an author of articles in the field of software design for computer-aided control systems. [e-mail: mars@mv.ru]A. Kukin,

Ilia Vasilevich Chernyshev, Ulyanovsk State Technical University, Candidate of Military Sciences; graduated from Novosibirsk Electrotechnical Institute of Communications and Ulyanovsk State Technical University; finished his postgraduate studies at the Marshal Budyonny Military Academy of Communications; Associate Professor of the Economics and Management Department at the Faculty of Economics and Mathematics of Ulyanovsk State Technical University; an author of textbooks and articles in the field of computer-aided control systems design and modeling. [e-mail: chernyshev@ulstu.ru]I. Chernyshev

Optimizing System Probability-time Characteristics With the Use of the Simulation Model 000_2.pdf

The currently central problem of increasing efficiency of a real-time hierarchical control system through rational resource allocation and reduction of control document development time was considered. The method of constructing a theoretical dependence of system probability-time characteristics (pTcH) on corresponding objects characteristics was described. The algorithm for developing approximate analytical dependencies based on approximation of experimental data obtained through simulation was outlined. In order to optimize pTcH, the task of allocating resources among objects in a hierarchical control system was formally set and solved. The authors show, that the system simulation model can be used as a target function instead of an approximate analytical dependence with the current efficiency of computers. The simulation model includes a lot of experiments. The random values of control document development time were set during each experiment. According to the structure and the algorithm, system characteristics are defined. Application of simulation models enhances the set of complex system design tasks solved with the use of operations research methods

Computer-aided control system, efficiency, optimal design, simulation model.

2016_ 3

Sections: Automated control systems

Subjects: Automated control systems, Mathematical modeling, Information systems, Operational research.


Gulnara Rivalevna Kadyrova, Ulyanovsk State Technical University, Candidate of Engineering; graduated from the Faculty of Radioengineering of Ulyanovsk Polytechnic Institute; Associate Professor at the Department of Applied Mathematics and Informatics of Ulyanovsk State Technical University; an author of monographs, textbooks, and articles in the field of statistical modeling, software information systems. [e-mail: gulya@ulstu.ru]G. Kadyrova

Modification of the Step-by-step Regression Method for Mathematical Models of the Object Behavior Prediction 000_8.pdf

The temperature regime significantly affects the durability of the computer. Ensuring stability of the computer functioning considers the stability of the heating temperature of the main elements that should not exceed the specified values. The article discusses issues related to the timely warning about a possible violation of the temperature regime stability. In order to diagnose stability, the multivariate statistical control methods are proposed to use. Evaluation of stability is carried out with the use of two criteria: stability of the temperature average level and their dispersion. Independent parameters can be controlled with the use of standard shewhart charts. The algorithms on the basis of Hotelling statistics (for assessing stability of the middle-level temperature measurement process) and generalized variance (for evaluation of the dispersion process stability) are used for correlated parameters. The efficiency of these algorithms can be enhanced through the analysis of non-random structures on the control charts, the use of the warning border, as well as application of modifications based on the cumulative amounts or moving averages weighted exponentially. The multivariate statistical technique of the computer temperature regime control including monitoring in the context of a well-developed process for a training sample in order to separate the parameters controlled for a group of independent and correlated ones, process analysis for assessment of control characteristics and continuous monitoring of the process with the construction of Hotelling charts and generalized dispersion with identifying possible violations of the process based on the presence of significant structures and the use of a warning border. This technique is illustrated by the example of five computer temperature regime parameters control.

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2016_ 3

Sections: Mathematical modeling

Subjects: Mathematical modeling, Operational research.


Georgii Vladimirovich Antsev, Candidate of Engineering, Associate Professor; graduated from the Leningrad Institute of Aviation Instrumentation; General Director - General Designer of Concern Monnformsistem-Agat JSC; an author of articles, monographs, inventions in the field of complex information radioelectronic systems of special and civil purposes, [e-mail: gendirector@concern-agat.ru]G. Antsev,

Anatolii Konstantinovich Krasnikov, Doctor of Engineering, Professor; graduated from Moscow Engineering Physics Institute; Deputy Head of the Training and Retraining Scientific-and-Methological Center of Concern Monnformsistem- Agat JSC; an author of articles, monographs, inventions in the field of system analysis and synthesis of special-purpose information and control systems, [e-mail: cnti@concern-agat.ru]A. Krasnikov,

Evgenii Stanislavovich Novikov, Doctor of Engineenng, Professor; graduated from Moscow Engineenng Physics Institute; Chief Issue Manager - Head of Training and Retraining Scientific-and-Methological Center of Concern Monnformsistem-Agat JSC; an author of articles, monographs, inventions in the field of special-purpose information and control systems hardware and software, [e-mail: novikov-E.S@concern-agat.ru]E. Novikov

Methodological Aspects of Designing Naval Integrated Management Systems 000_1.pdf

The paper is devoted to methodological aspects of the creation of a special software for integrated management systems (IMS) of the Russian Naval ships [1-3]. In the context of system analysis, the problem of developing control solutions for semistructured problems in complex tactical situations is considered [4-7]. The authors substantiate the value of special mathematical models development for the problem situations analysis. The ability to formulate the problem of optimal (efficient) control solutions generation more clearly is occurred on the basis of such analysis. The examples of using the analytical models of combat confrontation predictive modeling in information control system quality assessment are given. The basic principles and steps of the methodology for constructing mathematical models of semistructured problems of practical interest and the approaches to the choice of criteria and indicators of information control system quality assessment are proposed. The authors use the methods of system analysis, operations research, decision-making, queue systems, computer mathematics modern systems.

Methodology, integrated management system, mathematical model, queue system, system analysis.

2016_ 2

Sections: Automated control systems

Subjects: Automated control systems, Mathematical modeling, Architecture of ship's system, Operational research.


Aleksandr Kupriianovich Ivanov, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, Doctor of Engineering, Honoured Worker of Science and Engineering of the Ulyanovsk Region; graduated from the Faculty of Physics at Irkutsk State University; completed his post-graduate studies at Bauman Moscow Higher Technical School and his doctoral studies at Ulyanovsk State Technical University; Chief Staff Scientist at Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’; an author of monographs, articles, and a manual in the field of mathematical modeling of hierarchical real-time computer-aided control systems. [e-mail: mars@mv.ru]A. Ivanov

Building and Researching Dynamic Models of Information Processes in Complex Systems 000_1.pdf

The author researches the following schemes of processing information in complex systems: a sequent one with a different number of objects, a two- or three-level hierarchical scheme used in transferring information resources from the lowest levels to the highest ones, and a two- or three-level hierarchical scheme used in transferring information resources from the highest levels to the lowest ones. For all the schemes considered, the mathematical models in the form of linear differential equations with constant coefficients were built under simple but realistic assumptions as follows: the size of information resources does not change in case of processing; the speed of processing information on objects has a linear dependence on the size of information resources; the range of equation constant coefficients chosen allows to get the analytical solution. The author obtains analytical solutions of the system of differential equations showing the relationship between the size of information resources and the time on every object of the information processing schemes considered. The fundamental possibility of analytical solutions for any number of objects in a sequent scheme and any number of levels in a hierarchical system was shown.

Dynamic models, information processing, complex systems, differential equations.

2016_ 1

Sections: Automated control systems

Subjects: Automated control systems, Architecture of ship's system, Operational research.


Ekaterina Dmitrievna Nasonova, Balashov Institute (Branch) of National Research Saratov State University named after N.G. Chernyshevsky, Candidate of Physics and Mathematics; graduated from the Faculty of Physics and Mathematics of Balashov State Pedagogical Institute; Associate Professor at the Department of Physics and Information Technologies at Balashov Institute (Branch) of National Research Saratov State University named after N.G. Chernyshevsky; an author of articles in the field of operations research. [e-mail: baratovaed@rambler.ru]E. Nasonova

Hierarchical Interaction Between the Two Coalitions in View of the Uncertain Factor on the Top Level 000_10.pdf

Complex systems usually have multilevel hierarchical structures characterized by the disparity of participants in the control process and exposed to different perturbations and other uncertain factors. In order to solve the problem of describing the operation of complex dynamic systems and decision-making under uncertainty, the methods of operations research including the game theory ones are used. A model of hierarchical interaction between two coalitions with program strategies under uncertainty with varying degrees of awareness is constructed in the paper. It is assumed that the low level players of the hierarchy know the implemented value of uncertainties, and this information is not available on the top level. The solution using the guaranteed result principle is defined. The original maximin problem to the related set is transformed to the problem on maximum of functional with penalty. The existence theorem for solution is proved, an estimate of the error and necessary conditions of optimality are obtained.

Hierarchical game, coalition, uncertainty, penalty function technique.

2016_ 1

Sections: Mathematical modeling

Subjects: Mathematical modeling, Automated control systems, Architecture of ship's system, Operational research.


Innokentiy Vasilyevich Semushin, Ulyanovsk State University, Doctor of Science in Engineering, Professor of Information Technology Department at Ulyanovsk State University (UlSU); an author of papers, monographs, and textbooks; holds patents for inventions; his field of interest includes filtering and control under uncertainty. [e-mail: kentvsem@yandex.ru]I. Semushin,

Yuliya Maksimovna Krolivetskaya, Ulyanovsk State University, Post-graduate student of Information Technology Department at Ulyanovsk State University; graduated from the Faculty of Mathematics and Information Technology of UlSU with the specialty in Applied Mathematics and Computer Science; her field of interest includes filtering and model parameter change point detection for stochastic systems. [e-mail: juliakrolivetskaya@gmail.com]Y. Krolivetskaya,

Elena Sergeevna Petrova, Ulyanovsk State University, Post-graduate student of Information Technology Department at UlSU; graduated from Mathematics and Information Technology Faculty of UlSU with the specialty in «Applied Mathematics and Computer Science»; her field of interest includes filtering and model parameter identification for stochastic systems. [e-mail: ]E. Petrova

Kalman Filter Oriented Mathematical Model of the Steadycircle Path 34_3.pdf

The model of stochastic harmonic oscillator is used to approximate the steady-circle path. The main motif for the approach is to meet the model linearity requirement with respect to the state vector even for the raplex trajectories and so to make the standard (non-extended) Kalman filter strictly applicable avoiding its linearization.

Stochastic harmonic oscillator, abrupt maneuvering, ship navigation in complex conditions, collision avoiding systems.

2013_ 4

Sections: Mathematical modeling, calculi of approximation and software systems

Subjects: Mathematical modeling, Automated control systems, Architecture of ship's system, Operational research.


Igor Viktorovich Lutoshkin, Ulyanovsk State University, Candidate of Physics and Mathematics, Associate Professor, graduated from Ulyanovsk branch of Lomonosov Moscow State University with the specialty in Applied Mathematics; Head of the Department of Economic and Mathematical Methods and Information Technologies at Ulyanovsk State University; an author of articles in the field of numerical methods of optimal control theory and mathematical economics publishing in Russian and foreign Journals; research interests are investigative techniques for dynamic advanced systems; constructing models of economic development with delays. [e-mail: Lutoshkiniv@ulsu.ru]I. Lutoshkin,

Aleksandra Ivanovna Devien, Federal Research-and-Production Association ‘Research-and-Production Association ‘Mars’, Post-graduate Student at the Department of Economic and Mathematical Methods and Information Technologies at Ulyanovsk State University; graduated from Ulyanovsk State University with the specialty in Mathematical Methods in Economics; an economist of Economic Planning Department at FRPC OJSC ‘RPA ‘Mars’; research interests are dynamic economic models with delays. [e-mail: Gella29@yandex.ru]A. Devien

Applying the Parameterization Method for Algebraic-differential Systems With Delays 34_4.pdf

An extension of a parameterization method into problems described by algebraic-differential systems with delays is suggested. A scheme of reducing the algebraic-differential system with delays to an optimal control problem and applying the parameterization method to it is described. A computational experiment supporting the relevance of the suggested approach is carried out. In the paper the parameterization method is expanded into the algebraic-differential systems with delays. There is described the scheme of reducing the algebraic-differential systems with delays to the optimal control problems and applying the parameterization method to it. The numerical experiment states such approach.

Words: optimization problems with delays, the parameterization method for the problems with delays, algebraic-differential equations with delays.

2013_ 4

Sections: Mathematical modeling, calculi of approximation and software systems

Subjects: Mathematical modeling, Operational research.


Olga Alekseevna Peregudova, Ulyanovsk State University, Doctor of Physics and Mathematics, Associate Professor, graduated from the Faculty of Mechanics and Mathematics at Ulyanovsk State University; Professor of the Department of Information Security and Control Theory at Ulyanovsk State University; an author of articles, textbooks, and a monograph in the field of the theory of stability and motion control of mechanical systems. [e-mail: peregudovaoa@sv.ulsu.ru]O. Peregudova,

Konstantin Valerevich Pakhomov, Ulyanovsk State University, Post-graduate student, graduated from the Faculty of Mathematics and Information Technologies at Ulyanovsk State University; a research assistant at the Office of Scientific Research of Ulyanovsk State University; an author of articles in the field of motion control of mechanical systems. [e-mail: pakhomovkv@yandex.ru]K. Pakhomov

On the Stabilization of Nonlinear Systems With Piecewise Constant Control Using a Back Stepping Method 34_6.pdf

A method of solving a stabilization problem of nonlinear systems with piecewise constant control on the basis of a sampling system using a back stepping method and Lyapunov’s functions of vector norms type is proved in the paper. Sufficient stabilization conditions with the initial deviations estimation are obtained. A specific example illustrates the effectiveness of the results in comparison with the known ones.

Nonlinear system, piecewise constant control, back stepping, lyapunov’s function, matrix norm.

2013_ 4

Sections: Mathematical modeling, calculi of approximation and software systems

Subjects: Mathematical modeling, Operational research.


Andrei Aleksandrovich Zakhariev, FRPC OJSC ‘RPA ‘Mars’, Candidate of Engineering; graduated from the Faculty of Mathematical Support of C2 Systems at Leningrad Naval Maritime Radio-Electronics Academy named after A. Popov; a leading staff scientist at FRPC OJSC ‘RPA ‘Mars’; an author of articles in the field of dataware, special mathematical and software support of C2 Systems [e-mail: mars@mv.ru]A. Zakhariev,

Oleg Nikolaevich Kudelin, FRPC OJSC ‘RPA ‘Mars’, Candidate of Physics and Mathematics, graduated from the Faculty of Physics and Engineering at Ulyanovsk State University; a deputy chief designer [e-mail: mars@mv.ru]O. Kudelin,

Evgenii Serafimovich Kukin, FRPC OJSC ‘RPA ‘Mars’, Candidate of Engineering; Associate Professor; graduated from the Faculty of Physics of Voronezh State University; Deputy chief designer, a head of a department at FRPC OJSC ‘RPA ‘Mars’; an author of articles in the field of software for computer-aided control systems. [e-mail: mars@mv.ru]E. Kukin

Construction of Aggregated Models for State and Applicability of Complex Data Objects According to Its Purpose 33_1.pdf

The article offers a sufficiently universal approach to the construction of aggregated models for complex data objects state, based on the introduction of concept of object state aggregated requirements. The construction of such models in C2 systems provides persons taking decisions with aggregated (high quality) estimations of object state or possibility to use objects in accordance with the situation conditions.

Computer-aided control systems, aggregated model, data entity, parameter values.

2013_ 3

Sections: System analysis, data management and processing

Subjects: Automated control systems, Information systems, Operational research.


Irina Aleksandrovna Timina, Ulyanovsk State Technical University, Post-graduate student at the Department of Information systems at Ulyanovsk State Technical University; graduated from the Faculty of Information Systems and Technology at Ulyanovsk State Technical University with the speciality in Applied Information Science (in Economics); an author of articles and research papers in the field of data mining. [e-mail: timina_i@mail.ru]I. Timina

Fuzzy Dependency As a Problem-solving Method for Time-series Mining 33_6.pdf

The article is concerned with a fuzzy time-series dependency analysis intended for the problem solving of modelling and forecasting of the economic-units behaviour. The problem solving is based on the application of a linear regression model, on the degree of similarity between the time series and their correlation. In order to forecast the value of Fuzzy Time Series, a method of fuzzy elementary tendencies is used. The proposed approach has been examined experimentally.

Fuzzy time series, forecasting, fuzzy tendency.

2013_ 3

Sections: Mathematical modeling, calculi of approximations and software systems

Subjects: Artificial intelligence, Operational research.


Sergey Alexanderovich Ageev, Military Communications Academy (St. Petersburg), Candidate of Engineering, Associate Professor, advanced doctoral student of the Military Communications Academy (St. Petersburg); graduated from the Faculty of Radioengineering of Ulyanovsk Polytechnic Institute; head of a scientific and technical centre of Federal State Unitary Enterprise Central Communications Research Institute - Leningrad Department of Central Communications Research Institute; specializes in the field of telecommunications-system design; author of articles, patents in the field of data-transfer systems [e-mail: serg123@mail.ru]S. Ageev,

Igor Borisovich Saenko, St. Petersburg Institute for Informatics and Automation of the Russian Academy of sciences, Doctor of Engineering, Professor, graduated from the Military Communications Academy, completed his post-graduate and advanced doctoral programs at the same academy; leading staff scientist at St. Petersburg Institute for Informatics and Automation of the Russian Academy of sciences (St. Petersburg), specializes in the field of creation and development of information-management systems; author of monographs, articles and patents in this field [e-mail: ibsaen@mail.ru]I. Saenko,

Yury Petrovich Egorov, Federal Research-and- Production Center Open Joint-Stock Company Research-and-Production Association Mars (Ulyanovsk), Doctor of Engineering, Professor; graduated from the Faculty of Radioengineering of Leningrad Higher Marine School named after admiral S. Makarov; chief staff scientist at Federal Research-and- Production Center Open Joint-Stock Company Research-and-Production Association Mars (Ulyanovsk); specializes in the field of macro-design of large-scale information-management systems; author of monographs, articles, patents in the field of design of computer-aided C2 systems for troop control [e-mail: yupe@mail.ru]Y. Egorov,

Evgeny Igorevich Zozulia, Federal State Unitary Enterprise Central Communications Research Institute - Leningrad Department of Central Communications Research Institute, Post-graduate student of St. Petersburg National Research University of Information Technologies, Mechanics and Optics; graduated from St. Petersburg University ITMO, the Faculty of Information Technologies and Programming; head of Laboratory at Federal State Unitary Enterprise Central Communications Research Institute - Leningrad Department of Central Communications Research Institute; specializes in the field of creation and development of large-scale information-management systems for troop control [e-mail: eugenezozulia@ gmail.com]E. Zozulia,

Anatoly Afanasyevich Gladkikh, Ulyanovsk State Technical University, Candidate of Engineering; Professor at the Telecommunications Chair of Ulyanovsk State Technical University; graduated from the Military Communications Academy named after S. Budenny; finished his post-graduate studies at the same academy; is interested in antinoise coding, adaptive management method; author of monographs articles, patents in this subject area [e-mail: a_gladfkikh@mail.ru]A. Gladkikh

Adaptive Algorithms of Traffic Intensity Estimation in Multiservice Networks 31_1.pdf

The article presents and researches adaptive algorithms of traffic intensity estimation in multiservice networks of data transmission. The traffic is interpreted as nonsteady random process of exponential class. The proposed algorithms operate in near-real-time mode and with quality that is comparable to potentially achievable one. The algorithms can be used for research and service control of multiservice networks of data transmission.

Multiservice network, telematics network services, control automation, stochastic approximation, adaptive management, trend, estimation, random process, adaptive algorithms, traffic intensity.

2013_ 1

Sections: System analysis, data management and processing

Subjects: Automated control systems, Information systems, Operational research.


Victor Rostislavovich Krasheninnikov, Ulyanovsk State Technical University, Doctor of Engineering, Professor, graduated from Kazan State University, head of the Applied Mathematics and Informatics Chair at Ulyanovsk State Technical University; author of works on statistical methods for signal and image processing [e-mail: kvr@ulstu.ru]V. Krasheninnikov,

Rinat Damirovich Shigapov, Federal Research-and-Production Center Open Joint-Stock Company Research-and-Production Association Mars, Post-graduate student, graduated form the Faculty of Radio Engineering at Ulyanovsk State Technical University; software engineer at Federal Research-and-Production Center Open Joint-Stock Company Research-and-Production Association Mars; author of articles in the field of marine mobile objects management [e-mail: shigap@hotmail.com]R. Shigapov

The Model for Movement of Cable Connecting Carrying Ship With Unmanned Underwater Vehicle 31_13.pdf

The article shows the results of motion modeling for a cable connecting a surface ship with an unmanned underwater vehicle (UUV). The model represents the cable as a tensile torsion fiber which consequently simplifies solution of motion equations. The article uses an algorithm allowing the use of motion equations for a stretched torsion fiber provided the negative tension arises on it. We have used a simple numerical method to resolve combined cable-motion equations.

Cable, tensile, hooke's law, unmanned underwater vehicle.

2013_ 1

Sections: Software and mathematical support of computers, computer systems and networks

Subjects: Mathematical modeling, Artificial intelligence, Operational research.


Sergey Nikolaevich Nazarov, Ulyanovsk State Technical University, Candidate of Engineering; graduated from the Military Commu-nications Academy named after S. Budenny; finished his post-graduate study at Ulyanovsk Higher Military Communications Engineering College; doctoral student at Ulyanovsk State Technical University; Associate Professor at the Informatics Chair of Ulyanovsk Higher Civil Aviation School; author of articles and publications in the field of modeling of systems and net-works of wireless data transfer [e-mail: art3456@rambler.ru]S. Nazarov,

Natalia Andreevna Kaseeva, Ulyanovsk Higher Civil Aviation School, cadet at Ulyanovsk Higher Civil Aviation School; author of arti-cles and publications in the field of modeling of systems and networks of wireless data transfer [e-mail: nat53880735@yandex.ru]N. Kaseeva

Application of the Theory of Matching to Enhance the Operation Efficiency of Highly-Mobile Subscribers28_9.pdf

The article deals with an algorithm developed for control of movement of remote-controlled un-manned underwater vehicle connected with carrying ship by a cable. The algorithm uses fuzzy-logic methods with neuron network settings of controlparameters, so that the result of PID-controllers work is reproduced. The algorithm can be used to reproduce other controllers and makes it a universal instrument to create high-performance systems for automatic control.

highly-mobile subscriber, modulation circuit, packet profile, successful handover probability, mobile-platform local area network, repeater, zone dispatcher, set of conformity, power vector, transmission capacity of system, complete weighted bipartite graph, macro Diversity handover

2012_ 2

Sections: Telecommunications systems and computer network

Subjects: Mathematical modeling, Automated control systems, Operational research.


Anatoly Alexanderovich Kupriyanov, FRPC OJSC RPA Mars, Candidate of Engineering, Associate Professor, graduated from the Faculty of Radio-Engineering at Ulyanovsk Polytechnic Institute; leading staff scientist at FRPC OJSC RPA Mars; interested in the field of methodology of creation and building of distributed computer systems; author of papers and articles in design and development of local and corporate networks, computer-aided packages, and special- and general-purpose computer-aided control systems. [e-mail: aakupr1828@rambler.ru]A. Kupriyanov,

Ilya Vasilyevich Chernyshev, Ulyanovsk State Technical University, Candidate of Military Sciences, graduated from Novosibirsk Electrotechnical Communications College, Ulyanovsk State Technical University, finished his post-graduate study at the Military Communications Academy named after S. Budenny; Associate Professor at the Chair Economics and Management of the Economics and Mathematics Faculty of Ulyanovsk State Technical University; author of text-books, articles in the field of development and modeling of computer-aided control systems. [e-mail: chernyshev@ulstu.ru]I. Chernyshev

Research of Quality Levels of Combined C2 System for Forces, Weapons and Facilities 24_6.pdf

The article presents a conceptual description of combined computer-aided control system for different-type and heterogeneous groups of forces (troops), weapons and facilities (hereinafter combined C2 system). The creation of the system is determined by requirements of force engagement under predicted conditions of network-centric war. The article also gives quality features and levels of complex combined C2 system using ideas of general theory of systems.

Interaction, high-precision weapon, informatization, combined computer-aided c2 system, decision-maker, quality index, network-centric war, control.

2011_ 2

Sections: Integrated command and control systems. ships complexes and systems

Subjects: Automated control systems, Architecture of ship's system, Operational research.


Kirill Igorevich Ilyin, Research Technological Institute of Ulyanovsk State University, Post-graduate student of the Chair Physics Methods in Application Researches at Ulyanovsk State University, graduated from the Faculty of Physics and Engineering of Ulyanovsk State University; junior staff scientist at the Research Technological Institute of Ulyanovsk State University; interested in computer-aided systems for analysis and prevention of emergency situations at nuclear-fuel cycle installations. [e-mail: kirill40184@list.ru]K. Ilyin,

Vladimir Dmitrievich Risovany, Ulyanovsk State University, Doctor of Engineering, Professor, graduated from the Metallurgical Faculty at Ural Polytechnic Institute named after Sergey Kirov; senior staff scientist at the research-control department of Ulyanovsk State University; author of articles and monographs in the fields of physics of radiation damages of reactor materials and elements of active areas of nuclear reactors, new technologies of reactor materials and radiation technologies. [e-mail: rvd@niiar.ru]V. Risovany,

Viacheslav Viktorovich Svetukhin, Research Technological Institute at Ulyanovsk State University, Doctor of Physics and Mathematics, Professor, graduated from the Faculty of Physics and Engineering at Ulyanovsk State University; Director of the Research Technological Institute at Ulyanovsk State University; author of articles and monographs in the fields of reactor material science and mathematical modeling of physical processes. [e-mail: slava@sv.uven.ru]V. Svetukhin,

Viktor Dmitrievich Kizin, Joint Stock Company State Scientific Center Research Institute of AtomicReactors, Candidate of Engineering, senior staff scientist, graduated from the Faculty of Physics and Engineering at Ural Polytechnic Institute; Head of laboratory of radiation and technological methods and systems of the radiation-safety department at Joint Stock Company 'State Scientific Center Research Institute of Atomic Reactors'; author of articles and monographs in the fields of justification of radiation safety of research reactors, development of models for forecast of radiation consequences under ordinary operation and probable radiation accidents at research reactors. [e-mail: niiar@niiar]V. Kizin

Structural (conceptual) Scheme of General Strategy for Safety of Nuclear-fuel Cycle Installations 24_3.pdf

The present article is devoted to a research of the process of emergency-situation risk analysis used to reason the safety of nuclear-fuel cycle installations. The article offers a general strategy for analysis of safety of nuclear- and radiation-dangerous installations and considers its parts in details; reasons stages of the safety analysis and determines their main results.

Risk assessment, nuclear and radiation safety, nuclear-fuel cycle installations, emergency situations.

2011_ 2

Sections: Software and mathematical support of computers, computer systems and networks

Subjects: Mathematical modeling, Operational research.


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