V. Antonov, K. Konev, V. Suvorova, G. Kulikov, J. Scientific
This article proposes an improved methodology for the development of decision support systems, developed on the basis of a situational scheme for solving behavioral problems by a person. The proposed methodology proposes an approach to solving the problem of decision support based on the ontological model of an organization (business process), containing information about typical situations, their features, options (scenarios) of decisions and indicators for choosing these decisions. An intelligent mechanism for “recognition” of the states of typical situations has been developed on the basis of categorization and the use of the obtained hierarchy of their states and features. A general approach to keeping the ontological model up to date is proposed. The examples of the application of the methodology for the enterprise of the aircraft industry are considered.
{"title":"SITUATION AND ONTOLOGICAL DECISION-MAKING METHODOLOGY ON THE EXAMPLE OF BUSINESS PROCESSES OF AN AIRCRAFT ENTERPRISE","authors":"V. Antonov, K. Konev, V. Suvorova, G. Kulikov, J. Scientific","doi":"10.14529/CTCR210110","DOIUrl":"https://doi.org/10.14529/CTCR210110","url":null,"abstract":"This article proposes an improved methodology for the development of decision support systems, developed on the basis of a situational scheme for solving behavioral problems by a person. The proposed methodology proposes an approach to solving the problem of decision support based on the ontological model of an organization (business process), containing information about typical situations, their features, options (scenarios) of decisions and indicators for choosing these decisions. An intelligent mechanism for “recognition” of the states of typical situations has been developed on the basis of categorization and the use of the obtained hierarchy of their states and features. A general approach to keeping the ontological model up to date is proposed. The examples of the application of the methodology for the enterprise of the aircraft industry are considered.","PeriodicalId":338904,"journal":{"name":"Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131563204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A multilevel resource-saving blast furnace process control is considered. The resource-saving control is provided for operating, adaptation, technical and economic control in the automated systems of blast-furnace processes. It is proposed to form optimal operation modes of blast furnace heating, metal charge structures, natural gas and oxygen consumption. Decisions are made using Kohonen neural networks taking into account current and planned parameters of coke quality, iron ore, raw materials and blast. At the level of operating control, the work suggests a model predictive control to improve the resource conservation indicators. The method is based on decomposition of the general problem of the process dynamics identification on particular problems: dynamic synchronization and identification of process transfer functions. At the level of adaptive control, optimal operating modes of blast furnaces are expedient to be developed with respect to blast furnace heating, structure of metal charge, natural gas and oxygen rate considering the current and planned parameters of coke, blasting. The blast furnace operating modes are suggested to be determined based on Kohonen neural networks. In evaluating the efficiency of introducing the model predictive control, the existing actual statistics of scatter of BF mode parameters should be based upon. The fact is that the introduction of model predictive control assumes no radical change of the BF melt technology. Like in all the control systems, the BF process is considered as the set control object with all its characteristics. Changing process settings, raw material content does not introduce any cardinal variation in the scatter of process characteristics. However, in this case a transient process occurs which is necessary for the control system to identify the changing conditions. The transient process is inherent to all the control systems and the blast furnace process is not an exclusion. As a result of transient process, the control system is set to the optimal mode.
{"title":"A MULTILEVEL RESOURCE-SAVING BLAST FURNACE PROCESS CONTROL","authors":"T. Barbasova","doi":"10.14529/CTCR210112","DOIUrl":"https://doi.org/10.14529/CTCR210112","url":null,"abstract":"A multilevel resource-saving blast furnace process control is considered. The resource-saving control is provided for operating, adaptation, technical and economic control in the automated systems of blast-furnace processes. It is proposed to form optimal operation modes of blast furnace heating, metal charge structures, natural gas and oxygen consumption. Decisions are made using Kohonen neural networks taking into account current and planned parameters of coke quality, iron ore, raw materials and blast. At the level of operating control, the work suggests a model predictive control to improve the resource conservation indicators. The method is based on decomposition of the general problem of the process dynamics identification on particular problems: dynamic synchronization and identification of process transfer functions. At the level of adaptive control, optimal operating modes of blast furnaces are expedient to be developed with respect to blast furnace heating, structure of metal charge, natural gas and oxygen rate considering the current and planned parameters of coke, blasting. The blast furnace operating modes are suggested to be determined based on Kohonen neural networks. In evaluating the efficiency of introducing the model predictive control, the existing actual statistics of scatter of BF mode parameters should be based upon. The fact is that the introduction of model predictive control assumes no radical change of the BF melt technology. Like in all the control systems, the BF process is considered as the set control object with all its characteristics. Changing process settings, raw material content does not introduce any cardinal variation in the scatter of process characteristics. However, in this case a transient process occurs which is necessary for the control system to identify the changing conditions. The transient process is inherent to all the control systems and the blast furnace process is not an exclusion. As a result of transient process, the control system is set to the optimal mode.","PeriodicalId":338904,"journal":{"name":"Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114635604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
O. Loginovskiy, A. Maximov, S. Zolotykh, V. O. Loginovskaya
Analysis of modern technologies, methods and models used in various types of organizational and corporate structures convincingly proves that the improvement of preparation and decision-making for the management of these structures is currently carried out mainly on the basis of often outdated and not quite corresponding to modern capabilities of computer technology, and also information, software and software developments. The article shows that in modern conditions of global instability in the world, it becomes necessary to use adequate methods for data analysis and preparation of managerial decision-making on the development of organizational and corporate structures. Proposals and recommendations for improving the processes of analytical data processing, extracting useful information from large amounts of data located in the relevant organizational and corporate systems are presented, as well as adequate mathematical models and algorithms that can be successfully used to improve the quality of management decisions by the management of companies. The purpose of the study is to form methods and models for the analysis of strategic alternatives for the development of organizational and corporate systems using the concept of big data, technologies for extracting the necessary information from existing data banks, etc. Materials and methods. The research methods are based on modern information and analytical technologies, data science and models developed by the authors for the analysis of strategic alternatives for the deve¬lopment of organizational and corporate systems. Results. The scientific provisions and developments presented in the article can be used to improve the efficiency of management in various information and analytical systems for various management structures. Conclusion. The results of the research presented in this article make it possible to perform a qualitative analysis of data, to model the options for the work of organizational and corporate structures in an on-line mode, which makes it possible to increase the efficiency of managing their development based on a comparison of alternative options for management decisions.
{"title":"DEVELOPMENT OF ORGANIZATIONAL AND CORPORATE SYSTEMS USING MODERN MATHEMATICAL METHODS AND MODELS","authors":"O. Loginovskiy, A. Maximov, S. Zolotykh, V. O. Loginovskaya","doi":"10.14529/CTCR210111","DOIUrl":"https://doi.org/10.14529/CTCR210111","url":null,"abstract":"Analysis of modern technologies, methods and models used in various types of organizational and corporate structures convincingly proves that the improvement of preparation and decision-making for the management of these structures is currently carried out mainly on the basis of often outdated and not quite corresponding to modern capabilities of computer technology, and also information, software and software developments. The article shows that in modern conditions of global instability in the world, it becomes necessary to use adequate methods for data analysis and preparation of managerial decision-making on the development of organizational and corporate structures. Proposals and recommendations for improving the processes of analytical data processing, extracting useful information from large amounts of data located in the relevant organizational and corporate systems are presented, as well as adequate mathematical models and algorithms that can be successfully used to improve the quality of management decisions by the management of companies. The purpose of the study is to form methods and models for the analysis of strategic alternatives for the development of organizational and corporate systems using the concept of big data, technologies for extracting the necessary information from existing data banks, etc. Materials and methods. The research methods are based on modern information and analytical technologies, data science and models developed by the authors for the analysis of strategic alternatives for the deve¬lopment of organizational and corporate systems. Results. The scientific provisions and developments presented in the article can be used to improve the efficiency of management in various information and analytical systems for various management structures. Conclusion. The results of the research presented in this article make it possible to perform a qualitative analysis of data, to model the options for the work of organizational and corporate structures in an on-line mode, which makes it possible to increase the efficiency of managing their development based on a comparison of alternative options for management decisions.","PeriodicalId":338904,"journal":{"name":"Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130107302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With the development of electronic systems, the control of various asynchronous type electric motors is becoming more efficient and accurate. Such engines are used everywhere in the world, the variety of tasks performed by such mechanisms is growing every day, and the need for them is not decreasing. Nowadays, AC electric drive systems based on an asynchronous motor are becoming more widespread. This is due to the high reliability, simple design and relatively low cost of induction motors, as well as the rapid development of power converter technology, which makes it pos¬sible to create various types of semiconductor converters and reliable power supplies. In most cases, the vector control system is built for a pre-magnetized electric drive. This article discusses the synthesis of a vector control system for an asynchronous motor without preliminary magnetization, and also considers algorithms for vector control of an electromechanical unbalanced vibration module without preliminary magnetization of the asynchronous motor. Aim. To develop a control structure for an asynchronous motor of an unbalanced vibration module. Introduce a division link into the management structure. Synthesize a speed controller, rotor flux linkage and two components of the stator current. Compensate for the EMF action in the channels of the transverse and longitudinal axis. Provide the control system with the ability to reverse the electric machine. Implement the simulation of the resulting system and conduct a study of the results obtained, having obtained dynamic characteristics. Methods. The vector control system is constructed in the form of a stabilization channel of the rotor flux linkage module and a channel for controlling the rotor rotation speed. To achieve the desired result, we introduce a nonlinear regulator of the division link type into the control structure. This will convert the nonlinear structure to linear. Let's compensate the EMF action in the channels of the transverse and longitudinal axis. Having realized the simulation of the obtained system, we will conduct a study of the results obtained, having obtained dynamic characteristics. Results. Structural modeling was carried out in the MATLAB/Simulink software package. For the purpose of a comparative assessment of the synthesis results of a control system with a torque regulator in the form of a division link, a subordinate control system will also be synthesized, which has similar parameters of the power unit. Conclusion. The choice of the motor torque as the output coordinate makes it possible to significantly simplify the mathematical model of the induction motor. In addition to the features of the mathematical model of an asynchronous electric motor, in this work it is necessary to take into account the features of the vibration module as a load. In this case, two main features can be distinguished – a large moment of inertia of the flywheel masses of the electric drive, as well as a sinusoidal
{"title":"VECTOR CONTROL ALGORITHMS FOR AN ELECTROMECHANICAL UNBALANCE VIBRATION MODULE WITHOUT PRELIMINARY MAGNETIZATION OF THE ASYNCHRONOUS MOTOR","authors":"G. M. Simakov, V. V. Topovskiy, I. A. Ilyenkov","doi":"10.14529/CTCR210104","DOIUrl":"https://doi.org/10.14529/CTCR210104","url":null,"abstract":"With the development of electronic systems, the control of various asynchronous type electric motors is becoming more efficient and accurate. Such engines are used everywhere in the world, the variety of tasks performed by such mechanisms is growing every day, and the need for them is not decreasing. Nowadays, AC electric drive systems based on an asynchronous motor are becoming more widespread. This is due to the high reliability, simple design and relatively low cost of induction motors, as well as the rapid development of power converter technology, which makes it pos¬sible to create various types of semiconductor converters and reliable power supplies. In most cases, the vector control system is built for a pre-magnetized electric drive. This article discusses the synthesis of a vector control system for an asynchronous motor without preliminary magnetization, and also considers algorithms for vector control of an electromechanical unbalanced vibration module without preliminary magnetization of the asynchronous motor. Aim. To develop a control structure for an asynchronous motor of an unbalanced vibration module. Introduce a division link into the management structure. Synthesize a speed controller, rotor flux linkage and two components of the stator current. Compensate for the EMF action in the channels of the transverse and longitudinal axis. Provide the control system with the ability to reverse the electric machine. Implement the simulation of the resulting system and conduct a study of the results obtained, having obtained dynamic characteristics. Methods. The vector control system is constructed in the form of a stabilization channel of the rotor flux linkage module and a channel for controlling the rotor rotation speed. To achieve the desired result, we introduce a nonlinear regulator of the division link type into the control structure. This will convert the nonlinear structure to linear. Let's compensate the EMF action in the channels of the transverse and longitudinal axis. Having realized the simulation of the obtained system, we will conduct a study of the results obtained, having obtained dynamic characteristics. Results. Structural modeling was carried out in the MATLAB/Simulink software package. For the purpose of a comparative assessment of the synthesis results of a control system with a torque regulator in the form of a division link, a subordinate control system will also be synthesized, which has similar parameters of the power unit. Conclusion. The choice of the motor torque as the output coordinate makes it possible to significantly simplify the mathematical model of the induction motor. In addition to the features of the mathematical model of an asynchronous electric motor, in this work it is necessary to take into account the features of the vibration module as a load. In this case, two main features can be distinguished – a large moment of inertia of the flywheel masses of the electric drive, as well as a sinusoidal ","PeriodicalId":338904,"journal":{"name":"Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125829534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
V. Komarov, Ekaterinburg” Ekaterinburg Russian Federation Pjsc “Kalinin Machinery Plant, S. M. Roshchin
When developing any information system, an extremely important stage of its life cycle is the design or modeling stage. Among the existing approaches to the design of information systems, such as, for example, the “classic” development of UML diagrams using a unified modeling language, the model-oriented systems engineering approach, focused on building models, is gaining popularity. Purpose of the study. Consider modeling a system for monitoring and analyzing electronic media information using the methods of model-oriented system engineering. Research methods and tools. It is proposed to use the toolkit of the system-oriented design methodology, focused on the creation and use of models of different degrees of detail at different stages of design. The application of models of hierarchical decomposition of entities is presented on the example of typical essential characteristics of artificial systems: requirements for the system, system functions, system components (subsystems), work on creating a system. A regular method for constructing and consistently expanding architectural models of products is described, on the basis of which models of hierarchical taxonomy of functional requirements for the system, key functions, and components of the system core are built. Based on hierarchical taxonomy models, a model for matching requirements and functions and a model for matching functions and system components are built. Results. The developed models clearly show the relationship of system components, requirements, functions and modules with each other. The approach used makes it possible to detail the presentation of the system based on its decomposition into subsystems and on the basis of taking into account the essential characteristics. All this makes it possible to streamline the sequence of stages of creating a system and decompose them into separate stages of work. Conclusion. The results obtained in the course of the conducted research make it possible to proceed to the next stage of the life cycle of the information system being developed – its software development.
{"title":"MODELING OF THE SYSTEM OF MONITORING AND ANALYSIS OF INFORMATION OF ELECTRONIC MEDIA BY METHODS OF MODEL BASED SYSTEM ENGINEERING","authors":"V. Komarov, Ekaterinburg” Ekaterinburg Russian Federation Pjsc “Kalinin Machinery Plant, S. M. Roshchin","doi":"10.14529/CTCR210102","DOIUrl":"https://doi.org/10.14529/CTCR210102","url":null,"abstract":"When developing any information system, an extremely important stage of its life cycle is the design or modeling stage. Among the existing approaches to the design of information systems, such as, for example, the “classic” development of UML diagrams using a unified modeling language, the model-oriented systems engineering approach, focused on building models, is gaining popularity. Purpose of the study. Consider modeling a system for monitoring and analyzing electronic media information using the methods of model-oriented system engineering. Research methods and tools. It is proposed to use the toolkit of the system-oriented design methodology, focused on the creation and use of models of different degrees of detail at different stages of design. The application of models of hierarchical decomposition of entities is presented on the example of typical essential characteristics of artificial systems: requirements for the system, system functions, system components (subsystems), work on creating a system. A regular method for constructing and consistently expanding architectural models of products is described, on the basis of which models of hierarchical taxonomy of functional requirements for the system, key functions, and components of the system core are built. Based on hierarchical taxonomy models, a model for matching requirements and functions and a model for matching functions and system components are built. Results. The developed models clearly show the relationship of system components, requirements, functions and modules with each other. The approach used makes it possible to detail the presentation of the system based on its decomposition into subsystems and on the basis of taking into account the essential characteristics. All this makes it possible to streamline the sequence of stages of creating a system and decompose them into separate stages of work. Conclusion. The results obtained in the course of the conducted research make it possible to proceed to the next stage of the life cycle of the information system being developed – its software development.","PeriodicalId":338904,"journal":{"name":"Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114869243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The division of data for training a neural network into training and test data in various proportions to each other is investigated. The question is raised about how the quality of data distribution and their correct annotation can affect the final result of constructing a neural network model. The paper investigates the algorithmic stability of training a deep neural network in problems of recognition of the microstructure of materials. The study of the stability of the learning process makes it possible to estimate the performance of a neural network model on incomplete data distorted by up to 10%. Purpose. Research of the stability of the learning process of a neural network in the classification of microstructures of functional materials. Materials and methods. Artificial neural network is the main instrument on the basis of which produced the study. Different subtypes of deep convolutional networks are used such as VGG and ResNet. Neural networks are trained using an improved backpropagation method. The studied model is the frozen state of the neural network after a certain number of learning epochs. The amount of data excluded from the study was randomly distributed for each class in five different distributions. Results. Investigated neural network learning process. Results of experiments conducted computing training with gradual decrease in the number of input data. Distortions of calculation results when changing data with a step of 2 percent are investigated. The percentage of deviation was revealed, equal to 10, at which the trained neural network model loses its stability. Conclusion. The results obtained mean that with an established quantitative or qualitative deviation in the training or test set, the results obtained by training the network can hardly be trusted. Although the results of this study are applicable to a particular case, i.e., microstructure recognition problems using ResNet-152, the authors propose a simpler technique for studying the stability of deep learning neural networks based on the analysis of a test, not a training set.
{"title":"ALGORITHMIC STABILITY OF DEEP LEARNING NEURAL NETWORKS IN RECOGNIZING THE MICROSTRUCTURE OF MATERIALS","authors":"R. Klestov, A. Klyuev, V. Stolbov","doi":"10.14529/CTCR210114","DOIUrl":"https://doi.org/10.14529/CTCR210114","url":null,"abstract":"The division of data for training a neural network into training and test data in various proportions to each other is investigated. The question is raised about how the quality of data distribution and their correct annotation can affect the final result of constructing a neural network model. The paper investigates the algorithmic stability of training a deep neural network in problems of recognition of the microstructure of materials. The study of the stability of the learning process makes it possible to estimate the performance of a neural network model on incomplete data distorted by up to 10%. Purpose. Research of the stability of the learning process of a neural network in the classification of microstructures of functional materials. Materials and methods. Artificial neural network is the main instrument on the basis of which produced the study. Different subtypes of deep convolutional networks are used such as VGG and ResNet. Neural networks are trained using an improved backpropagation method. The studied model is the frozen state of the neural network after a certain number of learning epochs. The amount of data excluded from the study was randomly distributed for each class in five different distributions. Results. Investigated neural network learning process. Results of experiments conducted computing training with gradual decrease in the number of input data. Distortions of calculation results when changing data with a step of 2 percent are investigated. The percentage of deviation was revealed, equal to 10, at which the trained neural network model loses its stability. Conclusion. The results obtained mean that with an established quantitative or qualitative deviation in the training or test set, the results obtained by training the network can hardly be trusted. Although the results of this study are applicable to a particular case, i.e., microstructure recognition problems using ResNet-152, the authors propose a simpler technique for studying the stability of deep learning neural networks based on the analysis of a test, not a training set.","PeriodicalId":338904,"journal":{"name":"Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124136312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The paper considers the problem of set-valued dynamic systems state estimation under conditions of uncertainty, when the sets of disturbances and noises possible values are known and statistical information about them is absent or cannot be obtained. An algorithm for feasible set polyhedral approximation is described, when the sets of possible values of disturbances and noises are polyhedra. The algorithm is based on the implicit description of the information set with linear equations and inequalities systems and solving a number of linear programming problems. Methods for increasing the estimation accuracy by taking into account additional information about disturbances and noises models are considered. Set-valued estimation of the dynamical system state vector is described when the disturbances are given as a system of functions with unknown coefficients. In this case, due to the use of information that the coefficients are constant, the dynamic system state estimates are more accurate than in the case when the disturbances are known up to a set of possible values. A numerical example is presented to demonstrate the algorithm performance. Aim. The aim of the research is to develop dynamic system state, disturbance and noises set-valued estimation algorithms. Research methods. Methods of optimization theory, filtering, linear algebra, MATLAB software package were used in the work. Results. Dynamic system state estimation algorithm was described. The algorithm takes into account additional information about disturbances and noises models. A method of feasible set polyhedral approximation is described, which makes it possible to obtain a set-valued estimate of a state vector, a vector of disturbances and noises, and an evolution of reachable sets. It can be used in the adaptive estimation and control algorithms development. The algorithm for set-valued estimation of the system state vector and coefficients in the disturbance decomposition as a system of given functions is developed. Conclusion. An algorithm for feasible set polyhedral approximation was described.The numerical example was performed and the analysis of the estimateswas presented.
{"title":"DYNAMIC SYSTEMS STATE, DISTURBANCES AND NOISES SET-VALUED ESTIMATION UNDER CONDITIONS OF INCOMPLETE INFORMATION","authors":"E. Podivilova, V. Shiryaev","doi":"10.14529/CTCR210103","DOIUrl":"https://doi.org/10.14529/CTCR210103","url":null,"abstract":"The paper considers the problem of set-valued dynamic systems state estimation under conditions of uncertainty, when the sets of disturbances and noises possible values are known and statistical information about them is absent or cannot be obtained. An algorithm for feasible set polyhedral approximation is described, when the sets of possible values of disturbances and noises are polyhedra. The algorithm is based on the implicit description of the information set with linear equations and inequalities systems and solving a number of linear programming problems. Methods for increasing the estimation accuracy by taking into account additional information about disturbances and noises models are considered. Set-valued estimation of the dynamical system state vector is described when the disturbances are given as a system of functions with unknown coefficients. In this case, due to the use of information that the coefficients are constant, the dynamic system state estimates are more accurate than in the case when the disturbances are known up to a set of possible values. A numerical example is presented to demonstrate the algorithm performance. Aim. The aim of the research is to develop dynamic system state, disturbance and noises set-valued estimation algorithms. Research methods. Methods of optimization theory, filtering, linear algebra, MATLAB software package were used in the work. Results. Dynamic system state estimation algorithm was described. The algorithm takes into account additional information about disturbances and noises models. A method of feasible set polyhedral approximation is described, which makes it possible to obtain a set-valued estimate of a state vector, a vector of disturbances and noises, and an evolution of reachable sets. It can be used in the adaptive estimation and control algorithms development. The algorithm for set-valued estimation of the system state vector and coefficients in the disturbance decomposition as a system of given functions is developed. Conclusion. An algorithm for feasible set polyhedral approximation was described.The numerical example was performed and the analysis of the estimateswas presented.","PeriodicalId":338904,"journal":{"name":"Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129511040","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Currently, the issue of determining the rating and scientific significance of journals remains very important. It provides a review of the methods for assessing the quality of Russian and foreign journals. Purpose of work. The aim of the study is to develop mathematical models allowing to simulate and predict the dynamics of an integral indicator of the scientific development of a journal. Materials and methods. The paper defines the set of scientometric indicators for assessing the scientific significance of journals. The independence of factors was investigated using a matrix of matching correlation coefficients. A method for obtaining a mathematical dependence that reflects the relationship between the selected scientometric indicators and the integral indicator, based on the application of the multidimensional average method, is proposed. The ranking of factors is performed by the expert method. The weight coefficients were calculated using the Fishburne method. As the source data, we used available information from the scholarly e-library. The results of the study. Using the formula obtained, the values of the integral indicator for 7 years have been calculated from the source data using the example of the Journal 1. Using a similar technique, we derived the dependence of the integral indicator on key indicators of the Journal 2, for which the Science Index indicator has not been defined. The forecast of bibliometric indicators (factors) and the integral index of the journal for the next three years is made. To predict the nature of the change in factors (number of citations), anquadratic and cubic dependence is selected. The influence of joint change of factors on the integral indicator is investigated. Discussion and conclusions. The developed mathematical models can be used to analyze changes in the complex of scientometric indicators over time when designing a development strategy for scientific journals and making managerial decisions.
{"title":"DEVELOPING AN INTEGRAL INDICATOR OF SCIENTIFIC JOURNALS DEVELOPMENT","authors":"L. Tugashova, A. Zatonskiy","doi":"10.14529/CTCR210108","DOIUrl":"https://doi.org/10.14529/CTCR210108","url":null,"abstract":"Currently, the issue of determining the rating and scientific significance of journals remains very important. It provides a review of the methods for assessing the quality of Russian and foreign journals. Purpose of work. The aim of the study is to develop mathematical models allowing to simulate and predict the dynamics of an integral indicator of the scientific development of a journal. Materials and methods. The paper defines the set of scientometric indicators for assessing the scientific significance of journals. The independence of factors was investigated using a matrix of matching correlation coefficients. A method for obtaining a mathematical dependence that reflects the relationship between the selected scientometric indicators and the integral indicator, based on the application of the multidimensional average method, is proposed. The ranking of factors is performed by the expert method. The weight coefficients were calculated using the Fishburne method. As the source data, we used available information from the scholarly e-library. The results of the study. Using the formula obtained, the values of the integral indicator for 7 years have been calculated from the source data using the example of the Journal 1. Using a similar technique, we derived the dependence of the integral indicator on key indicators of the Journal 2, for which the Science Index indicator has not been defined. The forecast of bibliometric indicators (factors) and the integral index of the journal for the next three years is made. To predict the nature of the change in factors (number of citations), anquadratic and cubic dependence is selected. The influence of joint change of factors on the integral indicator is investigated. Discussion and conclusions. The developed mathematical models can be used to analyze changes in the complex of scientometric indicators over time when designing a development strategy for scientific journals and making managerial decisions.","PeriodicalId":338904,"journal":{"name":"Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics","volume":"152 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115433618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Every year the industry in the world is gaining momentum: the number of industrial enterprises is growing, and with it the number of accidents at them. Oil today is the most common product for the synthesis and production of products. Increasing the level of fire protection systems at oil refine¬ries remains one of the most important components of protecting people from technogenic hazards. The speed of innovation allows the application of artificial intelligence in the creation of automated fire protection systems. Research objective. This study is aimed at building a model of an automated integrated fire protection system (AISPPO).Through the synthesis of digital automata and minimizing the control functions of the digital model is created a system of automated integrated fire protection system. Materials and methods. To solve the problems of research used methods of constructing graphical algorithms of automated integrated fire protection system. This system is a new approach to solving the issue of safety of industrial facilities in the oil refining industry. Results. The proposed new model of the software implementation of a digital automaton in an automated integrated system of fire detection and monitoring of an oil refinery has made it possible to create a bank of calculated and analytical data on all potential types of failures in the structure of the enterprise in order to train personnel and make changes to existing methodological documents and instructions for personnel actions in a particular situation. Conclusion. The developed technology allows you to process the incoming signal contained in cyclograms into an intermediate form for the synthesis of digital automata using innovative tools.
{"title":"CONDUCTING A SYNTHESIS OF A DIGITAL AUTOMATON FOR AN AUTOMATED FIREFIGHTING SYSTEM","authors":"K. Volkova","doi":"10.14529/CTCR210105","DOIUrl":"https://doi.org/10.14529/CTCR210105","url":null,"abstract":"Every year the industry in the world is gaining momentum: the number of industrial enterprises is growing, and with it the number of accidents at them. Oil today is the most common product for the synthesis and production of products. Increasing the level of fire protection systems at oil refine¬ries remains one of the most important components of protecting people from technogenic hazards. The speed of innovation allows the application of artificial intelligence in the creation of automated fire protection systems. Research objective. This study is aimed at building a model of an automated integrated fire protection system (AISPPO).Through the synthesis of digital automata and minimizing the control functions of the digital model is created a system of automated integrated fire protection system. Materials and methods. To solve the problems of research used methods of constructing graphical algorithms of automated integrated fire protection system. This system is a new approach to solving the issue of safety of industrial facilities in the oil refining industry. Results. The proposed new model of the software implementation of a digital automaton in an automated integrated system of fire detection and monitoring of an oil refinery has made it possible to create a bank of calculated and analytical data on all potential types of failures in the structure of the enterprise in order to train personnel and make changes to existing methodological documents and instructions for personnel actions in a particular situation. Conclusion. The developed technology allows you to process the incoming signal contained in cyclograms into an intermediate form for the synthesis of digital automata using innovative tools.","PeriodicalId":338904,"journal":{"name":"Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122408679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this article, we show the importance of potash fertilizers produced by PJSC Uralkali, Berezniki, Perm Territory for agriculture and the economy in general. А process of potas¬sium ore underground mining is described from breaking up moment till transportation to the surface. An importance of production planning for the mining enterprise functioning is substantiated. Various levels of plan-ning, from a general production plan to a weekly and daily plans are described. The problem of such planning at PJSC Uralkali is in using only integral performance indicators, it leads to significant errors. It is proposed to use simulation modeling as a possible solution to the problem. Purpose of work. The purpose of this work is to develop a simulation model of mining operations, from the process of breaking and transporting ore to a conveyor-transport system, and to test model’s applicability for ore mining planning. Since the existing software has a number of limitations in applies to potash mines, a specialized object-oriented library allows modeling queuing systems, multi-agent and active systems is used as a basis for modeling. The limitations and as-sumptions of the model are described. Materials and methods. The model is igned as a determinis-tic automaton. The end point for ore mining process modeling is the transfer of ore to the unloading point, because further transportation of ore is not a limiting factor for mining. Conclusion. The spe-cial states of all objects of the system including mining combine – self-propelled car – unloading point and all possible transitions between them are described. A data from open sources is taken to check the adequacy of the model. Changes in the simulation results are investigated for various in-put parameters in the developed software. The simulation results are of a pulsating character due to the periodic execution of the harvester drive away. A productivity of the combine decreases with an increase in the distance traveled by a self-propelled car. The possibility of transition to a stochas-tic model is investigated. An expected decrease due to an increase in the downtime of the combine is shown. A conclusion about the applicability of the model to improve the quality of planning for un-derground potassium ore mining is made based on obtained data.
{"title":"DEVELOPMENT OF A MINING SIMULATION MODEL FOR POTASSIUM ORE MINING PLANNING","authors":"A. Zatonskiy, P. A. Yazev","doi":"10.14529/ctcr200405","DOIUrl":"https://doi.org/10.14529/ctcr200405","url":null,"abstract":"In this article, we show the importance of potash fertilizers produced by PJSC Uralkali, Berezniki, Perm Territory for agriculture and the economy in general. А process of potas¬sium ore underground mining is described from breaking up moment till transportation to the surface. An importance of production planning for the mining enterprise functioning is substantiated. Various levels of plan-ning, from a general production plan to a weekly and daily plans are described. The problem of such planning at PJSC Uralkali is in using only integral performance indicators, it leads to significant errors. It is proposed to use simulation modeling as a possible solution to the problem. Purpose of work. The purpose of this work is to develop a simulation model of mining operations, from the process of breaking and transporting ore to a conveyor-transport system, and to test model’s applicability for ore mining planning. Since the existing software has a number of limitations in applies to potash mines, a specialized object-oriented library allows modeling queuing systems, multi-agent and active systems is used as a basis for modeling. The limitations and as-sumptions of the model are described. Materials and methods. The model is igned as a determinis-tic automaton. The end point for ore mining process modeling is the transfer of ore to the unloading point, because further transportation of ore is not a limiting factor for mining. Conclusion. The spe-cial states of all objects of the system including mining combine – self-propelled car – unloading point and all possible transitions between them are described. A data from open sources is taken to check the adequacy of the model. Changes in the simulation results are investigated for various in-put parameters in the developed software. The simulation results are of a pulsating character due to the periodic execution of the harvester drive away. A productivity of the combine decreases with an increase in the distance traveled by a self-propelled car. The possibility of transition to a stochas-tic model is investigated. An expected decrease due to an increase in the downtime of the combine is shown. A conclusion about the applicability of the model to improve the quality of planning for un-derground potassium ore mining is made based on obtained data.","PeriodicalId":338904,"journal":{"name":"Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114140571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：