
Main / mathematical model
Keyword: "mathematical model"
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. 
