
Main / mathematical model
Keyword: "mathematical model"
Artem Igorevich Ponomarev,, graduated from Ulyanovsk State Technical University with a degree in Instrumentation; Postgraduate Student at the Department of Measuring and Computing Systems of UlSTU; his research interests are in the field of designing aerometric equipment. email: artem_lsp@mail.ruA.I. Ponomarev,
Mikhail Iurievich Sorokin, Candidate of Sciences in Engineering; graduated from UlSTU with a degree in Aviation Devices and MeasuringCalculating Complexes; Associate Professor at the Department of Measuring and Computing Systems of UlSTU; his research interests are in the field of aerometric equipment development. email: minich80@mail.ruM.I. Sorokin 

Integration of the measured altitudespeed performances in the system
The air data system used by modern aircrafts is a soft hardware designed to measure, compute, and display the altitudespeed performances as well as other parameters such as air temperature, angles of attack and slip; and to provide to aircrew and consumers (various onboard systems) with this information.
The speed and altitude are one of the most important flight parameters of an aircraft. The operating principle of modern on board equipment for measuring the aircraft movement parameters while in flight is based on an aerometric method.
This article deals with a method for increasing the accuracy and the reliability of aerodynamic angleofattack measurements.
Measurement, pressure, pressure probe, sensor, air data, angle of attack, aircraft, mathematical model, air data system.



Sections: Information systems
Subjects: Information systems. 
Yury Ivanovich Sineshchuk, Doctor of Sciences in Engineering, Professor; Honored Worker of the Higher School of the Russian Federation; graduated from the Faculty of Combat Information Management Systems of the A.S. Popov Higher Naval Academy of Radio Electronics; Professor of the St. Petersburg University of the MIA of Russia; specializes in the field of information analysis and security, stability of complex systems. email: sinegal@rambler.ru.I. I. Sineshchuk
Tatiana Ivanovna Davydova, Candidate of Sciences in Engineering; graduated from the Radioengineering Faculty of Ulyanovsk State Technical University; Leading Engineer at FRPC JSC ‘RPA ‘Mars’; an author of articles and monograph in the field of calculations of radio equipment performance reliability. email: tasha_dav@inbox.ruT. I. Davydova 

The technique of substantiating the rational composition of information security tools with constrained resources
Finding the optimal structure of an information security system is an important task complicated by its uncertain, stochastic and nonlinear nature especially, if resources are constrained. The article considers a mathematical model for determining the cost of damage prevented by information security tools, and the cost of their installation and maintenance. The optimization criterion is the minimum cost of the damage prevented. Task variables are the number of different types of security features installed in the security system. The authors propose a methodology to substantiate rational composition of information security tools, taking into account economic constraints.
Decisionmaking, threat to information security, information security system, mathematical model, damage.



Sections: Automated control systems
Subjects: Automated control systems. 
Aleksei Vladimirovich Kozov, graduated from Bauman Moscow State Technical University of the ComputerAided Design Systems Department; an engineer of the Center of Education and Research “Robotics” in BMSTU; an author of publications in the field of computeraided design of robotic control systems. email: alexey.kozov@ gmail.comA.V. Kozov 

Models and designing methods for the dynamically reconfigurable group control system for mobile robots
High adaptability is an important requirement for the control system over a group of mobile robots operating in a nondeterministic changing environment. The group control system must ensure that the group task is completed when the structure of the group or the environment changes. Such adaptability can be achieved through dynamic reconfiguration of the control system. The article discusses the mathematical models of a dynamically reconfigurable system from the standpoint of computeraided design. A review of mathematical models of variable structure system, reconfigurable control systems and their design methods is presented. The paper deals with settheoretic, analytical, discreteevent models of variable structure systems and methodologies of designing reconfigurable systems. It is shown that the existing design methods do not fully provide the required adaptability of designed group control system. The paper compares the group control system and the reconfigurable multiprocessor computing system and shows how to increase adaptability and autonomy of designed control system using principles of reconfigurable computing systems designing.
Control systems, distributed systems, mathematical model, discreteevent system, dynamic reconfiguration, mobile robot, computeraided design.



Sections: Computeraided engineering
Subjects: Computeraided engineering. 
Nail Zakievich Sultanov, Doctor of Sciences in Engineering, Professor; graduated from the Aircraft Construction Faculty at Tashkent Polytechnic Institute; completed his postgraduate studies at Moscow Aviation Institute and doctoral studies at Orenburg Agrarian University in the operation of agricultural aviation; Professor at the Aircraft Department; Head of the Department of Production Automation Systems at Orenburg State University; an author of monographs, guides, tutorials, articles in the field of the intelligent technologies and automated systems of aviation and rocketandspace technologies. email: sultanov@mail.osu.ruN.Z. Sultanov,
Nurislam Muratovich Aikozhaev, a candidate for a master’s degree of Orenburg State University, Bachelor; graduated from the Aircraft Trial Faculty of the Voskhod Branch at the Moscow Aviation Institute; an engineer of the Yuzhny Space Center of FSUE TsENKI; an author of articles in the field of the mathematical modeling and information technology of automated control systems. email: nurislam.aykozhaev@mail.ruN.M. Aikozhaev


Module for evaluation the quality of telemetry information
The article deals with the development of a mathematical model of a system for automating the technological process of receiving and transmitting production information of an enterprise in the rocket and space industry for a software module for selecting the best source of telemetry information. The choice of optimization criteria is substantiated with the involvement of experts working at the enterprise. The degree of consistency of experts’ opinions is estimated by calculating the coefficients of concordance (Kendall), variation, Spearman’s rank correlation. The restrictions imposed on the optimality criteria, the list of tasks to be solved necessary for the optimization, the stages of solving the optimization problem are described. The problem under consideration is classified in detail to select the most appropriate automating algorithm. The algorithm of operation of the module for evaluating the quality of telemetry information is described in detail and the results of developed software module for choosing the best source of telemetry information are presented. In the considered mathematical apparatus, elements of such branches of mathematics as the set theory and linear algebra were used.
Telemetry information, acquisition and decommutation device, mathematical model, multicriteria optimization.



Sections: Information systems
Subjects: Information systems. 
Aleksandr Kupriianovich Ivanov, Doctor of Sciences in Engineering; graduated from the Faculty of Physics at Irkutsk State University, completed his postgraduate studies at Bauman Moscow Technical School, doctoral studies at Ulyanovsk State Technical University, Chief Staff Scientist of FRPC JSC ‘RPA ‘Mars’; an author of monographs, tutorial, articles in the field of the mathematical modeling of hierarchical realtime computeraided control systems. email: mars@mv.ruA. K. Ivanov


The model of informational interaction in the generation of decisions by command units
The article describes the process of decision generation performed by the operations staff of a command unit as an interaction of three types of information resources, i.e. raw situation information, incoming to the system of control; information resources of knowledge base of the system; and information resources of the decisionmaker experience. Such interaction encompasses an amount of decision information recourses. The differential model of the secondorder reaction is suggested as a mathematical model of interaction similarly to a chemical reaction, if two types of information resources are considered; and the differential model of the thirdorder reaction, if all types of information resources are considered. The method of undetermined coefficients was used to find the analytical solutions of relation between the reaction rate constant and time, volume of interacting resources, and volume of solution results. An interaction mechanism was developed to provide review of the whole information space and selecting of the most promising combinations comprising the final result. Based on this mechanism two methods of finding a solution were described as follows: a slow one that sorts out all combinations in a sequential order, or a quick creative one based on the intuition of a decisionmaker who performs a part of operations simultaneously.
Command unit, decisionmaking, mathematical model.



Sections: Automated control systems
Subjects: Automated control systems. 
Aleksandr Kupriianovich Ivanov, Doctor of Sciences in Engineering; graduated from the Faculty of Physics at Irkutsk State University, completed his postgraduate studies at Bauman Moscow Technical School, doctoral studies at Ulyanovsk State Technical University, Chief Staff Scientist of FRPC JSC ‘RPA ‘Mars’; an author of monographs, tutorial, articles in the field of the mathematical modeling of hierarchical realtime computer aided control systems. email: mars@mv.ruA.K. Ivanov
Aleksandr Leonidovich Savkin, Candidate of Military Science, Associate Professor; graduated from the Ulyanovsk Higher Military Command School of Communications and the Marshal Budjonny Military Academy of Signal Corps; completed his postgraduate studies in the Military Academy of Communications; Head of Science and Engineering Support Department of FRPC JSC ‘RPA ‘Mars’; an author of scientific works, manuals, and articles in the field of the development and modeling of communication control systems, automated information systems. email: mars@mv.ruA.L. Savkin


The decisionmaking model in management bodies
The decisionmaking modeling is based on the analogy of the intellectual activity of officials in the management bodies with inventor’s work described in terms of the catastrophe theory. The formation of decision is presented by motion in a potential field of cusp geometry. A potential function has two minima. The first minimum corresponds to initial data, the second one is in line with the findings reached. For transition, a potential barrier needs to be overcome through the pursuance of the specified research with knowledge accumulation. The activity of officials is divided in two parts. The first stage is a multistage data transformation using known algorithms, and the second one is a creative process for identifying the decision variables. Analytical solutions for three and four stages are obtained. A model of chain reaction is received in the model of the second part. The analogy with chain reactions is determined on grounds of the suggestion that information resources stimulating the intellectual conclusions with the avalanchelike growth of new knowledge are created during initial data transformation.
management bodies, decision making, mathematical model, catastrophe theory.



Sections: Mathematical modeling
Subjects: Mathematical modeling. 
Dmitrii Andreevich Grigorev, Federal ResearchandProduction Center Joint Stock Company ‘ResearchandProduction Association ‘Mars’, Master’s Student; graduated from the Faculty of Informatics and Computer Engineering of Ulyanovsk Polytechnic Institute; Leading Software Engineer at Federal ResearchandProduction Center Joint Stock Company ‘RPA ‘Mars’; an author of articles in the field of airdefense processes automation. [email: mars@mv.ru]D. Grigorev,
Tatiana Nikolaevna Maslennikova, Federal ResearchandProduction Center Joint Stock Company ‘ResearchandProduction Association ‘Mars’, Candidate of Science in Engineering; graduated from the Radioengineering Faculty of Ulyanovsk Polytechnic Institute; Head of a research laboratory in FRPC JSC ‘RPA ‘Mars’; an author of articles in the field of information support of computeraided systems of specialpurpose. [email: mars@mv.ru]T. Maslennikova,
Aleksandr Nikolaevich Piftankin, Federal ResearchandProduction Center Joint Stock Company ‘ResearchandProduction Association ‘Mars’, Candidate of Science in Engineering; graduated from the Faculty of Mechanics and Mathematics of Ulyanovsk State University; Chief Specialist at FRPC JSC ‘RPA ‘Mars’; an author of articles inthe field of automation of complex radar information processing, planning of fighter aircraft actions and control processes. [email: mars@mv.ru]A. Piftankin,
Anastasiia Vladimirovna Polovinkina, Federal ResearchandProduction Center Joint Stock Company ‘ResearchandProduction Association ‘Mars’, Candidate of Sciencs in Physics and Mathematics; graduated from the Faculty of Mathematics and Information Technologies of Ulyanovsk State University; Software Engineer at FRPC JSC ‘RPA ‘Mars’; an author of articles in the field of basic algebra and complex processing process automation. [email: mars@mv.ru]A. Polovinkina


The Mathematical Model of Air Defense Control Process
The article deals with problems on shipborne antiaircraft defense (AAD) system control process. The development of a plan for distribution of shipborne air defense systems through enemy objects is a one of the main stages of this process. The distribution plan represents an assignment array, the element of which includes identifiers for the air object and AAD facilities and is assigned for that air object. The distribution plan is generated with ranking of air objects on a danger level, evaluating the capabilities or efficiency of the AAD facilities assignment to air objects, and generating the plan of AAD facilities distribution through air objects according to the given efficiency criterion. When solving this problem, it arises the necessity of considering not only the actual state of the system but the predicted one. Authors suggest a mathematical model that considers jointly planning processes (problem solving on the predicted state) and control processes (problem solving on the actual state) of AAD facilities. The model takes into account the using of multiplex means and their loading features as well as the dynamics of evolving events. Antiaircraft defense (AAD), mathematical models, antiaircraft weapon, distribution plan, assignment criterion.



Sections: Automated control systems
Subjects: Automated control systems. 
Aleksandr Kupriianovich Ivanov, Federal ResearchandProduction Center Joint Stock Company ‘ResearchandProduction Association ‘Mars, Doctor of Science in Engineering; graduated from the Faculty of Physics of Irkutsk State University, completed his postgraduate studies at Bauman Moscow Higher Technical School and his doctoral studies at Ulyanovsk State Technical University; Chief Staff Scientist at Federal ResearchandProduction Center Joint Stock Company ‘ResearchandProduction Association ‘Mars’; an author of monographs, a manual and articles in the field of mathematical modeling of hierarchical realtime computeraided control systems. [email: mars@mv.ru]A. Ivanov


Construction and Application of an Analytical Approximation of Threedimensional Distribution
The algorithm and software for solving a threedimensional distribution problem in the forming of control loops are developed. Experimental research has been carried out. The dependence of the solution time on the dimension of problem determined by the number of control objects, observation means and environmental objects that form control loops has been obtained. A mathematical model of the control loop formation is constructed with the choice of optimal values of the adjustable parameters of control objects and observation means. A solution algorithm is described generally with the optimal distribution being performed at each step of searching the optimal values of adjustable parameters. A solution algorithm is proposed on the basis of an analytical approximation of the threedimensional distribution, which ensures the practical implementation of highdimensional problems with restrictions on time. An approximation equation for the three dimensional distribution is obtained using an analytical approximation of the twodimensional distribution. The equation was verified with experiments proved that it is possible to use it in highdimensional problems. A mathematical formulation and an algorithm for solving the problem of control loop formation are given based on the mobility of control objects and observation means. Control loop, threedimensional distribution, mathematical model, algorithm for solving, analytical dependence.



Sections: Automated control systems
Subjects: Automated control systems. 
Aleksei Arkadevich Smagin, Ulyanovsk State University, Doctor of Science in Engineering, Professor; graduated from the Faculty of Radioengineering of Ulyanovsk Polytechnic Institute; Head of the Department of Telecommunication Technologies and Networks of Ulyanovsk State University; an author of articles, inventions, and monographs in the field of information system development of different purposes. [email: smaginaa1@mail.ru]A. Smagin,
Iulia Aleksandrovna Radionova, Federal ResearchandProduction Center Joint Stock Company ‘ResearchandProduction Association ‘Mars’, Candidate of Science in Engineering; graduated from the Faculty of Mathematics and Mechanics of Ulyanovsk State University; finished her postgraduate study at Ulyanovsk State Technical University; Lead Programming Engineer at FRPC JSC ‘RPA ‘Mars’; an author of articles in the field of automated workflow systems, intelligent technical documentation storages, and statistical analysis of supplier appraisal. [email: juliaowl@mail.ru]I. Radionova,
Sergei Aleksandrovich Karpaev, Federal ResearchandProduction Center Joint Stock Company ‘ResearchandProduction Association ‘Mars’, Postgraduate Student; graduated from Ulyanovsk State Technical University; Production Control System Engineer at FRPC JSC ‘RPA ‘Mars’; an author of articles in the field of the business software automation and shortterm production planning. [email: neonix3000@mail.ru]S. Karpaev


Operatingresource Model of Technological Operations Distribution Based on the Implementation Means
The article is devoted to the actual topic of designing route maps. At the heart of the route maps, the route for performing technological operations at the production site is laid. In the production process, production is often stopped due to imperfections in the route map, one of the reasons for which is the change of resources.In the article it is proposed to carry out the design of the technological route according to the proposed principles with the use of a twopass twocomponent model as an increase in the productivity of the production process. The methodology is based on the principle of selecting the means for implementing technological operations on the basis of two interacting models, which make it possible to cover the process more fully from the point of view of resource provision and the performance of a technological operation using the example of chemical production.The proposed model allows the designer to choose the route of the technological process from the set of proposed options. An algorithm for designing and implementing a model in automated systems is presented.The offered algorithms allow to form design decisions, it gives the chance of their use for the subsequent processing and definition of efficiency.Formed by different criteria, technological routes provide many variants of the solutions obtained. The offered provides efficiency of improvement of quality of technological processes due to use of means of information support of maintenance of a set of operations close to an optimum choice of technical means of realization. Algorithm for designing design solutions, tool support, mathematical model, design methodology, operational resource model, design of route maps of technological processes, technological processes, chemical production.



Sections: Mathematical modeling
Subjects: Mathematical modeling. 
Aleksandr Kupriianovich Ivanov, Federal ResearchandProduction Center Joint Stock Company ‘ResearchandProduction Association ‘Mars’, Doctor of Science in Engineering; graduated from the Faculty of Physics of Irkutsk State University; completed his postgraduate studies at Bauman Moscow Higher Technical School and his doctoral studies at Ulyanovsk State Technical University; Chief Staff Scientist at Federal ResearchandProduction Center Joint Stock Company ‘ResearchandProduction Association ‘Mars’; an author of monographs, articles, and a manual in the field of mathematical modeling of hierarchical realtime computeraided control systems. [email: mars@mv.ru]A. Ivanov,
Vladimir Aleksandrovich Baboshin, St. Petersburg National Guard Forces Command Military Institute, Candidate of Sciences in Engineering, Associate Professor; graduated from Ulyanovsk Higher Military Command College of Communications; Associate Professor at the Department of Informatics and Mathematics of St. Petersburg National Guard Forces Command Military Institute; an author of articles and inventions in the field of the analysis and synthesis of information systems and mathematical modeling. [email: boboberst@mail.ru]V. Baboshin


Optimal Creation of Control Loops
The creation process of control loops in a hierarchical automated control system is determined by a threedimensional task of optimal distribution of control objects, monitoring software, and environment objects. Different variations of control loops are presented. An algorithm of random searching the optimal distribution of twodimensional task with control objects and environment objects is described. The analytical approximation of algorithm is given. It was obtained by the orthogonal transformation and was implemented while planning the control objects usage with regard to changing their location in space. Based on the algorithm of the twodimensional task distribution, the algorithm of random searching the optimal distribution of threedimensional task for one of the variations when each loop was created by the specified elements that are not included in other loops was developed. Following the results of the undertaken analysis, it was found that task time at high dimensionality could not comply with the dynamic of situation changing. The way of applying the analytical dependence for task time reducing is shown as well as the corresponding algorithm is described. The findings of experimental studies carried out by the use of the developed software are given. The obtained results verify the theory. Control loop, distribution task, mathematical model, solution algorithm, analytical dependence.



Sections: Automated control systems
Subjects: Automated control systems, Mathematical modeling. 
Dmitrii Vladimirovich Kharkin, Ulyanovsk Instrument Manufacturing Design Bureau JointStock Company, graduated from the Faculty of Information Systems and Technologies of Ulyanovsk State Technical University; Postgraduate Student at the Department of Measuring and Computing Complexes Department of Ulyanovsk State Technical University; Head of the Research Laboratory at Ulyanovsk Instrument Manufacturing Design Bureau JointStock Company; an author of articles in the field of illumination engineering. [email: hardim@mail.ru]D. Kharkin, Ivan Petrovich Efimov, Ulyanovsk State Technical University, Candidate of Engineering; graduated from Ulyanovsk Polytechnic Institute with a specialty in Aircraft Instrument Engineering; Senior Lecturer of the Measuring and Computing Complexes Department of Ulyanovsk State Technical University; an author of articles, inventions in the field of primary pressure sensors of aircraft air data measuring systems. [email: eip@ulstu.ru]I. Efimov


The Mathematical Model and the Creation Method of the Illuminations Module of Liquid Crystal Panels on the Basis of Colored Leds
The article considers construction of a module of illumination of liquid crystal panels on the basis of colored RGB LEDs. The algorithms of LED control for providing required illumination characteristics of liquid crystal modules are described. The algorithms’ adequacy was examined experimentally. The article also covers questions of influence of some characteristics of LEDs and constructive elements on illumination efficiency factor. The obtained mathematical models and algorithms allow to automate the development process of LED illuminations with forecasted characteristics. The ability to select elements with required constructive parameters for the specific LED illumination at the initial stage of development is appeared. Mathematical model, led illumination, disperser, control algorithm.



Sections: Mathematical modeling
Subjects: Mathematical modeling, Automated control systems. 
Aleksandr Kupriianovich Ivanov, Federal ResearchandProduction Center Joint Stock Company ‘ResearchandProduction Association ‘Mars’, 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 ResearchandProduction Center Joint Stock Company ‘ResearchandProduction Association ‘Mars’; an author of monographs, articles, and manuals in the field of mathematical modeling of hierarchical realtime computeraided control systems. [email: mars@mv.ru]A. Ivanov


Mathematical Models for Knowledge Management in Design Organizations
The article considers problems of knowledge management in an organization involved in automated systems design. Knowledge is defined as information used in a productive process. The article shows that the key moment is availability of formalized models and unformalized methods for obtaining design solutions. The author gives examples of knowledge applied in organizations for designing automated management systems with the use of corresponding models. The mathematical models of sequential transformation of data into information, information into knowledge, knowledge into design solutions are developed as LotkaVolterra linear differential equation systems. Situations of data occurrence from external and internal data sources, and deterioration of data, information and knowledge are considered. Analytical solutions for linear systems were obtained, researches of stability with the use of Lyapunov method were held, types of critical points were defined. The main trends of the knowledge management system were specified in order to gain competitive edge of the developing products. Design organization, automated systems, knowledge management, mathematical models.



Sections: Mathematical modeling
Subjects: Mathematical modeling, Automated control systems. 
Sergei Aleksandrovich Karpaev, Federal ResearchandProduction Center Joint Stock Company ‘ResearchandProduction Association ‘Mars’, Postgraduate Student at Ulyanovsk State Technical University; Engineer at Federal ResearchandProduction Center Joint Stock Company ‘ResearchandProduction Association ‘Mars’; an author of articles in the field of programming automatization of the enterprise businessprocesses and manufacturing planning. [email: neonix3000@mail.ru]S. Karpaev, Sergei Nikolaevich Larin, Federal ResearchandProduction Center Joint Stock Company ‘ResearchandProduction Association ‘Mars’, Candidate of Engineering; Associate Professor; graduated from the Faculty of Aircraft Construction of Ulyanovsk State Technical University; Deputy Head of the Complex Production and Engineering Department at Federal ResearchandProduction Center Joint Stock Company ‘ResearchandProduction Association ‘Mars’; an author of articles in the field of automatization of businessprocesses. [email: larinmars@rambler.ru]S. Larin


Building the Model for Balansing Industrial Forces of Multinomenclature Production
The article offers a formalized model for constructing issuerelated production plans (IRpp) on the basis of automated verification of process operations (pO). It reflects the mathematical algorithm for calculating the load distribution on working centers with reference to the specific equipment and performers as well as the search and finding algorithm for the interchangeable parts in designing pO of a businessprocess. The basic requirements for the implementation of the proposed model at the enterprise with multinomenclature production are described. The authors show the expediency of using this approach in integration of information flows of the system for automation of production technological preparation design and the system of operational and scheduling planning in design of production capacities load. As a result of the model implementation (on the basis of 1c: Enterprise 7.7) and carrying out a series of experiments, a reasonable conclusion about the effectiveness of the proposed scheme of developing IRpp for enterprises manufacturing multinomenclature products. Design of work centers load, mathematical model, planning system, issuerelated production plan.



Sections: Computeraided engineering
Subjects: Computeraided engineering, Information systems. 
Georgii Vladimirovich Antsev, Candidate of Engineering, Associate Professor; graduated from the Leningrad Institute of Aviation Instrumentation; General Director  General Designer of Concern MonnformsistemAgat JSC; an author of articles, monographs, inventions in the field of complex information radioelectronic systems of special and civil purposes, [email: gendirector@concernagat.ru]G. Antsev, Anatolii Konstantinovich Krasnikov, Doctor of Engineering, Professor; graduated from Moscow Engineering Physics Institute; Deputy Head of the Training and Retraining ScientificandMethological Center of Concern Monnformsistem Agat JSC; an author of articles, monographs, inventions in the field of system analysis and synthesis of specialpurpose information and control systems, [email: cnti@concernagat.ru]A. Krasnikov, Evgenii Stanislavovich Novikov, Doctor of Engineenng, Professor; graduated from Moscow Engineenng Physics Institute; Chief Issue Manager  Head of Training and Retraining ScientificandMethological Center of Concern MonnformsistemAgat JSC; an author of articles, monographs, inventions in the field of specialpurpose information and control systems hardware and software, [email: novikovE.S@concernagat.ru]E. Novikov


Methodological Aspects of Designing Naval Integrated Management Systems
The paper is devoted to methodological aspects of the creation of a special software for integrated management systems (IMS) of the Russian Naval ships [13]. In the context of system analysis, the problem of developing control solutions for semistructured problems in complex tactical situations is considered [47]. 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, decisionmaking, queue systems, computer mathematics modern systems. Methodology, integrated management system, mathematical model, queue system, system analysis.



Sections: Automated control systems
Subjects: Automated control systems, Mathematical modeling, Architecture of ship's system, Operational research. 
Vladimir Nikolaevich Moiseev, Ulyanovsk State Technical University, Candidate of Engineering; graduated from the Faculty of Economics and Mathematics of Ulyanovsk State Technical University; a software engineer of the department of Federal ResearchandProduction Center Joint Stock Company ‘ResearchandProduction Association ‘Mars’; an author of articles, inventions in the field of computeraided facilities for naval and aeronautical engineering control. [email: v.n.moiseev@mail.ru]V. Moiseev, Mikhail Iurievich Sorokin, Ulyanovsk Instrument Manufacturing Design Bureau, JSC, Candidate of Engineering; graduated from the Faculty of Information Systems and Technologies of Ulyanovsk State Technical University; Head of department at Ulyanovsk Instrument Manufacturing Design Bureau, JSC; an author of articles, inventions in the field of air pressure probes for aircraft data measuring systems. [email: rto@ukbp.ru]M. Sorokin, Ivan Petrovich Efimov, Ulyanovsk State Technical University, Candidate of Engineering; graduated from Ulyanovsk Polytechnical Institute with a specialty in Aircraft Instrument Engineering; Senior Lecturer of the Measuring and Computing Complexes Department of Ulyanovsk State Technical University; an author of articles, inventions in the field of primary pressure sensors of aircraft data measuring systems. [email: eip@ulstu.ru]I. Efimov, Tatiana Ivanovna Davydova, Federal ResearchandProduction Center Joint Stock Company ‘ResearchandProduction Association ‘Mars’, Candidate of Engineering; graduated from the Faculty of Radioengineering of Ulyanovsk State Technical University; lead design engineer at FRPС JSС‘ RPA ‘Mars’; an author of articles in the field of system analysis and information processing. [email: tasha_dav@inbox.ru]T. Davydova


The Mathematical Model of the Static Pressure Flowing Reciever
The article considers the matters of constructing mathematical models of the static pressure following receivers (SPFRS) designated for sensing static pressure on helicopters in a range of airspeeds to 250…350 km/h. SPFRS consist of contracting and diffusing parts. The mathematical model of SPFRS was developed in accordance with results of experimental researches for defining static pressure, dynamic pressure, speed, speed inaccuracy, altitude inaccuracy. The adequacy of the obtained mathematical models is checked through the comparison with the results of experimental researches. The models allow getting reliable data at the contractor convergence angle in 3070 degree, the diffuser aperture angle in 814 degree, the diaphragm coefficient in 0.150.45, windblast speed in 20250 km/h. The influence of separate components (a contractor and a diffuser) on SPFRS pressure coefficient and correlation between experimental data and the results obtained with the mathematical model are considered. With the use of the obtained mathematical models, the process of developing receivers with predicted metrological characteristics can be automated. The ability to take up receivers with required form factors for the specific control object on the original development cycle promptly has been appeared. Mathematical model, static pressure following receiver, contractor, diffuser.



Sections: Mathematical modeling
Subjects: Mathematical modeling, Automated control systems. 
Sergei Aleksandrovich Ageev, OJSC ‘Research Institute ‘Neptun’, Candidate of Engineering, Associate Professor; graduated from the Faculty of Radioengineering at Ulyanovsk Polytechnic Institute; Head of the Scientific and Technical Centre OJSC ‘Research Institute ‘Neptun’, St. Petersburg; specializes in the field of telecommunications system design; an author of articles and patents in the field of datatransfer system. [email: serg123_61@mail.ru]S. Ageev


Data Mining Methods for Information Security Risks Management of the Special Purpose Protected Multiservice Networks
The data mining methods using for information threat risks management of the specialpurpose protected multiservice networks (SPMN) elements are proposed. The fact that the process speed in SPMN, its variety, inaccuracy, and imperfection as well as a high aprior network element data dimension necessitates the application of intelligent techniques for data processing and management is explained. The factors effected on the SPMN information security management cycle time are analyzed, a unified metric for the threat assessment of SPMN elements information security is proposed. A unified mathematical model for the procedure of information security threat clustering, ranking, and classification is developed, its performance criteria are evaluated. The research results of this mathematical model are presented. Threat estimation rules for the specialpurpose protected multiservice networks are formulated. The achieved results of mathematical modeling are analyzed, the recommendations of practical application are provided. The similar methods and algorithms application in combination with intelligent agent technology allow to increase the efficiency of SPMN information security management. Directions for future research in this subject domain are defined. Protected multiservice network, efficiency of the management, tmnmodel, mathematical model, intelligent control, fuzzy inference, knowledge base, membership function, fuzzy data, linguistic variable.



Sections: Information systems
Subjects: Information systems, Mathematical modeling, Artificial intelligence. 
Denis Valerievich Parafeynik, Scientific Associate of the Research Institute of the Navy Development and Strategic Issues of Military EducationalandResearch Centre ‘Naval Academy’, graduated from the Faculty of Software for ComputerAided Control Systems at the Naval Institute of RadioElectronics named after A. Popov; Scientific Associate of the Research Institute of the Navy Development and Strategic Issues of Military EducationalandResearch Centre ‘Naval Academy’; an author of articles in the field of the system analysis and mathematical modeling of military systems and technologies. [email: 9410047@mail.ru]D. Parafeynik, Dmitriy Andreevich Sushchenkov, Military EducationalandResearch Centre ‘Naval Academy’, graduated from the Faculty of ComputerAided Control Systems at the Naval Institute of RadioElectronics named after A. Popov; a graduate student in Military EducationalandResearch Centre ‘Naval Academy’; an author of articles in the field of the system analysis and mathematical modeling of military systems and technologies. [email: sushenkov_dmitri@mail.ru]D. Sushchenkov


Application of Mathematical Tools of Semimarkovian Process and Jackson’s Network Approach in the Simulation of Air Defencemissile Defence (admd) of Allarms Forces
The usage of uptodate integratabilities of control, communications, intelligence, and attack weapon systems, and of the enhancement of their interaction level by means of the implementation of principles of the new “networkcentric” concepts specifies the necessity to conduct thorough investigations, including ones in the field of mathematical modeling. The article presents an issue regarding a timely character of overthehorizon acquisition of air targets and transmission of target designation from external systems to networks of spacedistributed allarms forces and means. This article provides a mathematical model that represents the mode of control of Fleet allarms forces, integrated in the unified system by means of the complex control systems network architecture and controlled forces, when a group of ships executes an ADMD mission using spacebased reconnaissance systems, satellite communications and shorebased intelligence information centers. The index system that enables to estimate the effectiveness of allarms forces operations with regard to the evaluation of timing data of random processes execution in the control network is elaborated. The mathematical simulation is executed to the benefit of development of militaryoriented computeraided control systems. Mathematical model, antiship missile, antiair warfare, antiaircraft missile, space reconnaissance assets, measures of effectiveness, jackson’s network approach, theory of queues, kill probability, time distribution function.



Sections: Automated control systems
Subjects: Automated control systems, Architecture of ship's system. 
Vladimir Fedorovich Belov, N.P. Ogarev Mordovian State University, Doctor of Engineering, Professor; graduated from the Faculty of Electronics at N.P. Ogarev Mordovian State University; Head of the Department of ComputerAided Design at N.P. Ogarev Mordovian State University; an author of articles, monographs, and inventions in the field of the design of autonomous electric power systems, in which power quality parameters are controllable. [email: belovvf@mail.ru]V. Belov, Anna Aleksandrovna Butkina, N.P. Ogarev Mordovian State University, graduated from the Faculty of Mathematics at N.P. Ogarev Mordovian State University; Lecturer of the Department of ComputerAided Design at N.P. Ogarev Mordovian State University; an author of articles in the field of numerical method application for mathematical simulation of electric power systems. [email: butkinaaa@gmail.com]A. Butkina, Alexey Valentinovich Shamaev, N.P. Ogarev Mordovian State University, Candidate of Engineering; graduated from the Faculty of Electronics at Ogarev Mordovian State University; Associate Professor at the Department of ComputerAided Design at N.P. Ogarev Mordovian State University; an author of articles in the field of mathematical simulation and optimization of electric power filters. [email: shamaevav@list.ru]A. Shamaev


Mathematical Simulation of Power Conversation Systems for Micro Grid
Mathematical model of AC/DC/AC converter with energy storage device is developed on the base of the bridge element concept. This model is intended for the analysis of conducted interference at the designing stage of micro Smart Grid, which contain AC/DC/AC converters, as well as for the emulation of the control object at the software development stage of microcontrollers.Bridge element (Belement) is a generalized model of the mphase bridge converter of electric power, in which transistors are modeled by ideal switches. Rules to represent a graph of the equivalent circuit of AC/DC/AC converter with energy storage as a set of subgraphs corresponding standardized bridge elements are developed. Application of these rules provides correctness of algorithm functioning of forming and solution of differential equations of the equivalent circuit at any state of the switches automatically.Computational aspects of the algorithm have been investigated on the example of mathematical simulation of AC/DC/AC converter with MPI distributed computing technology. Preliminary results showed that increasing of the simulation speed may be achieved by application of parallel computing technology for solution of the complete differential equations system formed on the Belement base. Elementwise forming and solution of differential equations systems does not increase the computational efficiency. Additional studies are required for final confirmation of these results. Smart grid, smart grid, power converter, mathematical model, power quality, parallel computation.



Sections: Mathematical modeling
Subjects: Mathematical modeling. 
Vladimir Nikolaevich Moiseev, FRPC OJSC ‘RPA ‘MARS, a postgraduate student at Ulyanovsk State Technical University; graduated from the Faculty of Economics and Mathematics of Ulyanovsk State Technical University with a specialty in Applied Mathematics; a software engineer at the department of FRPC OJSC ‘RPA ‘MARS; an author of articles, inventions in the field of air pressure probes of aircraft airdata measuring systems. [email: v.n.moiseev@mail.ru]V. Moiseev, Mikhail Yuryevich Sorokin, Ulyanovsk Instrument Manufacturing Design Bureau, PJSC, Candidate of Engineering; graduated from the Faculty of Information Systems and Technologies of Ulyanovsk State Technical University; a head of a department at Ulyanovsk Instrument Manufacturing Design Bureau, PJSC; an author of articles, inventions in the field of air pressure probes of aircraft airdata measuring systems. [email: rto@ukbp.ru]M. Sorokin, Ivan Petrovich Efimov, Ulyanovsk State Technical University, Candidate of Engineering, graduated from the Ulyanovsk Polytechnical Institute with a specialty in Aircraft Instrument Engineering; Associate Professor of Measuring and Computing Complexes Department of Ulyanovsk State Technical University; an author of articles, inventions in the field of primary pressure sensors of aircraft airdata measuring systems. [email: eip@ulstu.ru]I. Efimov, Nikolay Nikolayevich Makarov, Public Joint Stock Company Ulyanovsk Instrument Manufacturing Design Bureau, Doctor of Engineering, Candidate of Economics; graduated from the Faculty of Aircraft Control Systems and Equipment at Kazan Aiviation Institute named after F. Tupolev, Director General of Public Joint Stock Company Ulyanovsk Instrument Manufacturing Design Bureau; an author of articles and inventions in the field of air pressure probes of aircraft airdata measuring systems. [email: ukbplkv@mv.ru]N. Makarov


Mathematical Model for Pitotstatic Probe
The article deals with mathematical modeling problems of the air pressure probes composed of the front cylindrical receiving tube having inside conical flow stagnation chamber and static pressure holes. Basic mathematical models for the air pressure probes were derived from the mathematical modeling intended for determination of static pressure, dynamic pressure, velocity, velocity and altitude errors. The adequacy of the received mathematical models is checked by comparison against the experimental research findings. Experimental studies were carried out in the T129 wind tunnel of TsAGI with nozzlejet simulator. These models allow to get true data at such parameters as the cylindrical tube radius over the range 6.5 to 8.5 mm, start tube distance to the static pressure holes of 45 to 70 mm, downwash angle of 0 to 90 degrees, incident airflow velocity at 50 to 250 kmh. The received mathematical models enable to automate the engineering process of Pitotstatic probe with metrological performance predictions. This gives the ability to make a quick selection of probes with design parameters required for a specific control object at the initial development stage. Mathematical modeling, pitotstatic probe, mathematical model.



Sections: Mathematical modeling
Subjects: Mathematical modeling. 
Sergey Alexanderovich Ageev, Federal State Unitary Enterprise
Central Communications Research Institute  Leningrad Department of Central Communications Research Institute, Candidate of Engineering, Associate Professor; advanced doctoral student at
the Military Communications Academy (SaintPetersburg); 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 telecommunicationssystem design; author of articles, patents in the field of datatransfer
systems [email: serg123_61@mail.ru]S. Ageev, Igor Borisovich Saenko, SaintPetersburg
Institute for Informatics and Automation of the Russian Academy of Sciences, Doctor of Engineering, Professor; graduated from the Military Communications Academy;
completed his postgraduate and advanced doctoral programs at the same academy; Professor at SaintPetersburg
Institute for Informatics and Automation of the Russian Academy of Sciences (SaintPetersburg); specializes in the
field of creation and development of informationmanagement systems; author of monographs, articles and patents
in this field [email: ibsaen@mail.ru]I. Saenko, Yury Petrovich Egorov, Federal Researchand
Production Center Open JointStock Company ResearchandProduction Association Mars (Ulyanovsk), Doctor of Engineering, Professor; graduated from the Faculty of Radioengineering of
Leningrad Higher Marine College named after admiral S. Makarov; chief staff scientist at Federal Researchand
Production Center Open JointStock Company ResearchandProduction Association Mars (Ulyanovsk); specializes
in the field of macrodesign of largescale informationmanagement systems; author of monographs, articles, patents
in the field of design of computeraided C2 systems for troop control [email: yupe@mail.ru]Y. Egorov, Anatoly Afanasyevich Gladkikh, Ulyanovsk
State Technical University, Candidate of Engineering, Professor of the Chair Telecommunications at Ulyanovsk
State Technical University (Ulyanovsk); graduated from the Military Communications Academy; completed his postgraduate
program at the same academy; specializes in the field of synthesis of signalcode sequences, antinoise coding
in telecommunications systems; author of publications and patents in this field [email: a.gladfkikh@ulstu.ru]A. Gladkikh


About Development of Mathematicalmodel System for Control of Protected Multiservice Network
The article deals with basic approaches to development of mathematicalmodel system for control of protected multiservice
networks. It grounds why intellectual methods for control of protected multiservice systems are required, and presents basic
principles of levelsensitive mathematical modeling of operational tasks of control of protected multiservice network. The
authors have suggested solutions for interaction of level models as well as coordination of efficiency factors for differentlevel
models. Protected multiservice network, telematic network services, automation of control, tmn model, mathematical model, coordination of control.



Sections: Mathematical modeling, calculi of approximations and software systems
Subjects: Mathematical modeling, Automated control systems. 
Alexander Kupriyanovich Ivanov, Federal ResearchandProduction Center Open JointStock Company 'ResearchandProduction Association 'Mars', Doctor of Engineering, honoured worker in the science and engineering of 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 FRPC OJSC RPA Mars; author of monographs, a textbook and articles in the field of mathematical modeling of realtime hierarchical computeraided control systems. Phone: +7 (8422) 262 320. [email: mars@mv.ru]A. Ivanov


Optimal Allocation of Resources in a Hierarchical Control System
The article gives a sequence to build a mathematical model for optimal allocation of resources in hierarchical control systems on basis of an experimental deduction of dependencies between efficiency of control agencies and objects and allocated resources. It also cites flowcharts of a program for the calculation of the dependencies, and examples of the solutions. Planning, hierarchical systems, mathematical models, efficiency.



Sections: Mathematical modeling, calculi of approximations and software systems
Subjects: Mathematical modeling, Automated control systems. 
