Pub Date : 2023-03-27DOI: 10.1109/SmartIndustryCon57312.2023.10110747
A. Prasolov, S. Andreev, I. Nazarov
Hot blast stoves are intermittent heat exchangers designed to heat the air supplied into the blast furnace. To provide the continuity of the hot blast supply, separate stoves are combined into a unit. The definition of the time of heating and cooling periods for each stove is based on the calculation of providing the blast furnace with a hot blast with the maximum possible temperature for the entire period of operation of the hot blast stove's unit. Due to the different characteristics of the stove checkerworks, a reasonable heating time of each stove will be different; it changes over time, due to the checkerwork degradation. The studies conducted showed that to describe the state of the stove checkerworks in the unit, it is possible to use a linguistic variable with the terms ("low") and ("hard") characterizing the checkerwork capacity of heat accumulation. In this paper, a fuzzy controller is developed using the linguistic variable introduced. The controller allows controlling the heating time of each stove to provide the maximum heat absorption by the checkerwork taking into account its condition. Simulation modeling of the blast heating process showed that, providing a constant cycle time of the stove unit, the blowing temperature can be increased by 18 °C.
{"title":"The algorithm of Intelligent Control Adjustment of the Mode Map of Hot Blast Stove’s Unit Based on Fuzzy Logic","authors":"A. Prasolov, S. Andreev, I. Nazarov","doi":"10.1109/SmartIndustryCon57312.2023.10110747","DOIUrl":"https://doi.org/10.1109/SmartIndustryCon57312.2023.10110747","url":null,"abstract":"Hot blast stoves are intermittent heat exchangers designed to heat the air supplied into the blast furnace. To provide the continuity of the hot blast supply, separate stoves are combined into a unit. The definition of the time of heating and cooling periods for each stove is based on the calculation of providing the blast furnace with a hot blast with the maximum possible temperature for the entire period of operation of the hot blast stove's unit. Due to the different characteristics of the stove checkerworks, a reasonable heating time of each stove will be different; it changes over time, due to the checkerwork degradation. The studies conducted showed that to describe the state of the stove checkerworks in the unit, it is possible to use a linguistic variable with the terms (\"low\") and (\"hard\") characterizing the checkerwork capacity of heat accumulation. In this paper, a fuzzy controller is developed using the linguistic variable introduced. The controller allows controlling the heating time of each stove to provide the maximum heat absorption by the checkerwork taking into account its condition. Simulation modeling of the blast heating process showed that, providing a constant cycle time of the stove unit, the blowing temperature can be increased by 18 °C.","PeriodicalId":157877,"journal":{"name":"2023 International Russian Smart Industry Conference (SmartIndustryCon)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127092367","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}
Pub Date : 2023-03-27DOI: 10.1109/SmartIndustryCon57312.2023.10110807
S. Staroletov
The current pace of development of cyber-physical systems requires the elaboration of fast methods for analyzing data circulating in them. Anomalies are patterns of data that do not conform to the concept of normal (expected) behavior. The data available on vehicular CAN bus reflects the current state of a vehicle, and it is the product of the engine control system and various sensors. In the present paper, we present software to process data from the CAN bus with the goal to detect anomalies in it. Often the data circulated in a vehicle is vendor-specific, in addition, we consider various methods for finding anomalies, therefore, it is advisable to design extensible software in the form of a software framework. The work is intended for the Jetson Nano platform, but can be run on another embedded Linux platform with restrictions on detection methods. We discuss hardware and software methods to obtain information on current state of the vehicle in real time, and then we briefly study how to implement anomaly analysis methods on the received data. Evaluation of detection methods is not included in the goals of the work; we mainly provide infrastructural methods for receiving data from the bus, decoding it and passing it to an anomaly predictor. Software was implemented in C++ with the ability to run Python code for the prediction, tests were carried out on a Mazda 6 first generation car and its ECU.
{"title":"A Software Framework for Jetson Nano to Detect Anomalies in CAN Data","authors":"S. Staroletov","doi":"10.1109/SmartIndustryCon57312.2023.10110807","DOIUrl":"https://doi.org/10.1109/SmartIndustryCon57312.2023.10110807","url":null,"abstract":"The current pace of development of cyber-physical systems requires the elaboration of fast methods for analyzing data circulating in them. Anomalies are patterns of data that do not conform to the concept of normal (expected) behavior. The data available on vehicular CAN bus reflects the current state of a vehicle, and it is the product of the engine control system and various sensors. In the present paper, we present software to process data from the CAN bus with the goal to detect anomalies in it. Often the data circulated in a vehicle is vendor-specific, in addition, we consider various methods for finding anomalies, therefore, it is advisable to design extensible software in the form of a software framework. The work is intended for the Jetson Nano platform, but can be run on another embedded Linux platform with restrictions on detection methods. We discuss hardware and software methods to obtain information on current state of the vehicle in real time, and then we briefly study how to implement anomaly analysis methods on the received data. Evaluation of detection methods is not included in the goals of the work; we mainly provide infrastructural methods for receiving data from the bus, decoding it and passing it to an anomaly predictor. Software was implemented in C++ with the ability to run Python code for the prediction, tests were carried out on a Mazda 6 first generation car and its ECU.","PeriodicalId":157877,"journal":{"name":"2023 International Russian Smart Industry Conference (SmartIndustryCon)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130768478","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}
Pub Date : 2023-03-27DOI: 10.1109/SmartIndustryCon57312.2023.10110839
A. Zakharov, Irina G. Zakharova, Dmitriy Korenev
The article proposes a new approach to the transfer and storage of data, including from IoT devices, for medical systems to improve the information security of these systems. The proposed approach uses the blockchain methodology for storing batch and streaming information from various wearable devices designed to take medical indicators (blood pressure, pulse, temperature, etc.) in real time. For this, a blockchain from blockchains is used, which allows considering the peculiarity of biomedical data when they are presented in a distributed information storage. The article presents the storage architecture, describes data storage structures, and proposes pseudocode for creating a blockchain and adding information to it. A prototype of the system is presented, including services for receiving and processing information, as well as information retrieval. Computational experiments were performed to evaluate the performance of the system prototype on a test data set. Their results showed that the creation of new blockchains can be more time-consuming compared to traditional data storage. However, the proposed architecture, along with ensuring data protection, allows you to not lose the search speed.
{"title":"Blockchain Architecture for Secure Storage of IoT Data","authors":"A. Zakharov, Irina G. Zakharova, Dmitriy Korenev","doi":"10.1109/SmartIndustryCon57312.2023.10110839","DOIUrl":"https://doi.org/10.1109/SmartIndustryCon57312.2023.10110839","url":null,"abstract":"The article proposes a new approach to the transfer and storage of data, including from IoT devices, for medical systems to improve the information security of these systems. The proposed approach uses the blockchain methodology for storing batch and streaming information from various wearable devices designed to take medical indicators (blood pressure, pulse, temperature, etc.) in real time. For this, a blockchain from blockchains is used, which allows considering the peculiarity of biomedical data when they are presented in a distributed information storage. The article presents the storage architecture, describes data storage structures, and proposes pseudocode for creating a blockchain and adding information to it. A prototype of the system is presented, including services for receiving and processing information, as well as information retrieval. Computational experiments were performed to evaluate the performance of the system prototype on a test data set. Their results showed that the creation of new blockchains can be more time-consuming compared to traditional data storage. However, the proposed architecture, along with ensuring data protection, allows you to not lose the search speed.","PeriodicalId":157877,"journal":{"name":"2023 International Russian Smart Industry Conference (SmartIndustryCon)","volume":"34 11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134361840","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}
Pub Date : 2023-03-27DOI: 10.1109/SmartIndustryCon57312.2023.10110727
R. I. Zaev, A. Romanov, R. Solovyev
Medical research has made tremendous progress in detecting various pathologies in the human body. There is still the problem of the speed of the process, and the lack of a sufficient number of trained professionals in this field. Detection of prostate cancer, in particular, without surgery is a very labor- intensive process. A neural network-based machine learning algorithm has been proposed to solve this problem, making it possible to see suspected areas of lesions in the organ. In this study, a comprehensive analysis of TRUS image processing approaches was carried out, and an algorithm architecture was developed to segment the affected areas. Based on this analysis, we have developed a system for automatic detection and segmentation of prostate cancer.
{"title":"Segmentation of Prostate Cancer on TRUS Images Using ML","authors":"R. I. Zaev, A. Romanov, R. Solovyev","doi":"10.1109/SmartIndustryCon57312.2023.10110727","DOIUrl":"https://doi.org/10.1109/SmartIndustryCon57312.2023.10110727","url":null,"abstract":"Medical research has made tremendous progress in detecting various pathologies in the human body. There is still the problem of the speed of the process, and the lack of a sufficient number of trained professionals in this field. Detection of prostate cancer, in particular, without surgery is a very labor- intensive process. A neural network-based machine learning algorithm has been proposed to solve this problem, making it possible to see suspected areas of lesions in the organ. In this study, a comprehensive analysis of TRUS image processing approaches was carried out, and an algorithm architecture was developed to segment the affected areas. Based on this analysis, we have developed a system for automatic detection and segmentation of prostate cancer.","PeriodicalId":157877,"journal":{"name":"2023 International Russian Smart Industry Conference (SmartIndustryCon)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131106443","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}
Pub Date : 2023-03-27DOI: 10.1109/SmartIndustryCon57312.2023.10110835
Dmitry Antonov, P. Burankina, Vitaly Dement’ev
AI technologies gain value when they become an essential tool for the industry. In this article, we show the result of turning image recognition technology into an industrial tool for vehicle fleet management. The relevance of the drivers' actions monitoring task is substantiated. The choice of a object detection model was carried out among two-stage and single-stage models. R-CNN, Fast R-CNN, Faster R-CNN, R-FCN, SSD, RetinaNet, CenterNet and YOLOv4 were considered. Comparison of the different object detectors specifications is convinced us to choose YOLOv4. This choice is due to a good balance between performance, the ability to control the probability of false alarms, high recognition accuracy, and the presence of a special simplified version. In the paper we presented the results of YOLOv4 and YOLOv4-tiny research. The result is applicable to solving the problem of real-time recognition of driver actions, including on low-power platforms.
{"title":"Digital Assistant to Operator","authors":"Dmitry Antonov, P. Burankina, Vitaly Dement’ev","doi":"10.1109/SmartIndustryCon57312.2023.10110835","DOIUrl":"https://doi.org/10.1109/SmartIndustryCon57312.2023.10110835","url":null,"abstract":"AI technologies gain value when they become an essential tool for the industry. In this article, we show the result of turning image recognition technology into an industrial tool for vehicle fleet management. The relevance of the drivers' actions monitoring task is substantiated. The choice of a object detection model was carried out among two-stage and single-stage models. R-CNN, Fast R-CNN, Faster R-CNN, R-FCN, SSD, RetinaNet, CenterNet and YOLOv4 were considered. Comparison of the different object detectors specifications is convinced us to choose YOLOv4. This choice is due to a good balance between performance, the ability to control the probability of false alarms, high recognition accuracy, and the presence of a special simplified version. In the paper we presented the results of YOLOv4 and YOLOv4-tiny research. The result is applicable to solving the problem of real-time recognition of driver actions, including on low-power platforms.","PeriodicalId":157877,"journal":{"name":"2023 International Russian Smart Industry Conference (SmartIndustryCon)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127446531","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}
Pub Date : 2023-03-27DOI: 10.1109/SmartIndustryCon57312.2023.10110788
D. Perepelkin, M. Ivanchikova, Tin Nguyen
Technology software defined networks (SDNs) allows managing the network at the software level, expanding the functionality to control the process of data transfer in the network. SDNs provide a new level of network application abstraction to provide a level of quality of service. The purpose of the work is to develop a scientific approach to the study of multipath routing and load balancing in the SDNs based on the bird migration algorithm (BMA). The article studies and analyzes the bird migration algorithm to solve the problem of multipath routing in the SDNs. A visual software system SDNLoadBalancer has been developed and an experimental SDN topology has been designed, which makes it possible to study in detail the processes of multipath routing in the SDNs based on the proposed approach. The article also compares the proposed approach with the results of the genetic algorithm and the artificial bee colony algorithm. The obtained results show the effectiveness of the proposed approach in the SDNs, made it possible to obtain results close to optimal in an acceptable time, and also reduce the transmission delay jitter in the network.
{"title":"Research of Multipath Routing and Load Balancing Processes in Software Defined Networks Based on Bird Migration Algorithm","authors":"D. Perepelkin, M. Ivanchikova, Tin Nguyen","doi":"10.1109/SmartIndustryCon57312.2023.10110788","DOIUrl":"https://doi.org/10.1109/SmartIndustryCon57312.2023.10110788","url":null,"abstract":"Technology software defined networks (SDNs) allows managing the network at the software level, expanding the functionality to control the process of data transfer in the network. SDNs provide a new level of network application abstraction to provide a level of quality of service. The purpose of the work is to develop a scientific approach to the study of multipath routing and load balancing in the SDNs based on the bird migration algorithm (BMA). The article studies and analyzes the bird migration algorithm to solve the problem of multipath routing in the SDNs. A visual software system SDNLoadBalancer has been developed and an experimental SDN topology has been designed, which makes it possible to study in detail the processes of multipath routing in the SDNs based on the proposed approach. The article also compares the proposed approach with the results of the genetic algorithm and the artificial bee colony algorithm. The obtained results show the effectiveness of the proposed approach in the SDNs, made it possible to obtain results close to optimal in an acceptable time, and also reduce the transmission delay jitter in the network.","PeriodicalId":157877,"journal":{"name":"2023 International Russian Smart Industry Conference (SmartIndustryCon)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129454071","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}
Pub Date : 2023-03-27DOI: 10.1109/SmartIndustryCon57312.2023.10110741
V. Promyslov, K. Semenkov
The paper considers the problem of analyzing the characteristics of a digital control system as a black box based on the input and output flows characteristics. The Network calculus method is proposed as a system model. The method makes possible to describe the system as a set of deterministic constraints or arrival curve on the flow. The paper proposes to extend the Network Calculus for the case when the flow is described by more than two parameters and extend Network Calculus for multidimensional feature space. An example the feature space may be consist from a packet sequence number, packet size and packet arrival time. The multidimensional flow might be described in a framework of the Network Calculus by some multidimensional arrival cure used to compute boundaries on the flow behavior and characteristics. The proposed extension of the network Calculus makes possible to model a wider class of systems, for example, considering non-uniform data flows.
{"title":"On the Choice of a Model for Representing Data Flow Parameters in a Digital System","authors":"V. Promyslov, K. Semenkov","doi":"10.1109/SmartIndustryCon57312.2023.10110741","DOIUrl":"https://doi.org/10.1109/SmartIndustryCon57312.2023.10110741","url":null,"abstract":"The paper considers the problem of analyzing the characteristics of a digital control system as a black box based on the input and output flows characteristics. The Network calculus method is proposed as a system model. The method makes possible to describe the system as a set of deterministic constraints or arrival curve on the flow. The paper proposes to extend the Network Calculus for the case when the flow is described by more than two parameters and extend Network Calculus for multidimensional feature space. An example the feature space may be consist from a packet sequence number, packet size and packet arrival time. The multidimensional flow might be described in a framework of the Network Calculus by some multidimensional arrival cure used to compute boundaries on the flow behavior and characteristics. The proposed extension of the network Calculus makes possible to model a wider class of systems, for example, considering non-uniform data flows.","PeriodicalId":157877,"journal":{"name":"2023 International Russian Smart Industry Conference (SmartIndustryCon)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128229283","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}
Pub Date : 2023-03-27DOI: 10.1109/SmartIndustryCon57312.2023.10110725
Y. Soluyanov, A. Fedotov, A. Akhmetshin
The construction industry development strategy includes a set of measures aimed at the development of individual housing construction. At the end of 2022, the share of commissioning of individual residential buildings in the total volume of housing increased to 56%, most of the private houses are built by citizens on their own, including with the involvement of contractors. In turn, for individual residential buildings located in rural and urban areas, there are no adequate regulatory documents for the design of electrical networks. Therefore, there is a significant difference between the design and calculated load values. A prerequisite for performing an analysis of the electrical load of individual residential buildings was the data provided by JSC "Grid Company", indicating a low load of electrical grid equipment (less than 20%) in cottage settlements of urban and rural agglomerations of the Republic of Tatarstan. The purpose of this work is to reduce the cost of building both a specific individual residential building and the village as a whole, by developing new regulatory documents for the design of power supply networks.
{"title":"Study of Electrical Loads of Individual Residential Buildings with the Subsequent Development of Regulatory Documents","authors":"Y. Soluyanov, A. Fedotov, A. Akhmetshin","doi":"10.1109/SmartIndustryCon57312.2023.10110725","DOIUrl":"https://doi.org/10.1109/SmartIndustryCon57312.2023.10110725","url":null,"abstract":"The construction industry development strategy includes a set of measures aimed at the development of individual housing construction. At the end of 2022, the share of commissioning of individual residential buildings in the total volume of housing increased to 56%, most of the private houses are built by citizens on their own, including with the involvement of contractors. In turn, for individual residential buildings located in rural and urban areas, there are no adequate regulatory documents for the design of electrical networks. Therefore, there is a significant difference between the design and calculated load values. A prerequisite for performing an analysis of the electrical load of individual residential buildings was the data provided by JSC \"Grid Company\", indicating a low load of electrical grid equipment (less than 20%) in cottage settlements of urban and rural agglomerations of the Republic of Tatarstan. The purpose of this work is to reduce the cost of building both a specific individual residential building and the village as a whole, by developing new regulatory documents for the design of power supply networks.","PeriodicalId":157877,"journal":{"name":"2023 International Russian Smart Industry Conference (SmartIndustryCon)","volume":"216 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124252148","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}
Pub Date : 2023-03-27DOI: 10.1109/SmartIndustryCon57312.2023.10110730
Sh.I. Khanbekov, Alexander Zakharov
In this paper we introduce the continuous authentication system for voice‑controlled network administrator virtual assistant. While voice control is a promising technology in such fields as Internet of Things, smart home systems and voice assistant applications, the voice transmission channel is vulnerable to a number of threats which bypass the standard technique of one‑time authentication. The efficiency of the proposed system is achieved by analyzing the physical characteristics of inbound speech signal in a form of mel‑frequency cepstral coefficients and hierarchically distinguishing the voice commands according to their possible negative impact on information security state. The considered continuous authentication system can be deployed in a local environment on a low‑performance device while maintaining acceptable accuracy rates.
{"title":"Continuous Speaker Authentication when Using Network Administrator Virtual Assistant","authors":"Sh.I. Khanbekov, Alexander Zakharov","doi":"10.1109/SmartIndustryCon57312.2023.10110730","DOIUrl":"https://doi.org/10.1109/SmartIndustryCon57312.2023.10110730","url":null,"abstract":"In this paper we introduce the continuous authentication system for voice‑controlled network administrator virtual assistant. While voice control is a promising technology in such fields as Internet of Things, smart home systems and voice assistant applications, the voice transmission channel is vulnerable to a number of threats which bypass the standard technique of one‑time authentication. The efficiency of the proposed system is achieved by analyzing the physical characteristics of inbound speech signal in a form of mel‑frequency cepstral coefficients and hierarchically distinguishing the voice commands according to their possible negative impact on information security state. The considered continuous authentication system can be deployed in a local environment on a low‑performance device while maintaining acceptable accuracy rates.","PeriodicalId":157877,"journal":{"name":"2023 International Russian Smart Industry Conference (SmartIndustryCon)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117152581","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}
Pub Date : 2023-03-27DOI: 10.1109/SmartIndustryCon57312.2023.10110798
V. Gusev
The problem of object management in conditions of uncertainty, when there is no formalized description, and measurements are made at certain intervals, is considered. It is assumed that the dependence of the objective function on the control parameter is quite smooth and does not have sharp jumps. The construction of control mechanisms in such a situation is associated with the problem of an extreme regulator that automatically searches for and maintains the extreme value of the regulated value. The problem boils down to the problem of finding the extremum for a nonstationary objective function, when its values, depending on the components of the control vector, are set only on a discrete set of moments. To find a solution, a discrete method of unconditional optimization of the gradient type is proposed. The conditions of its application are considered. The application of the method is demonstrated on the numerical model of an extreme regulator designed to manage a non-stationary object with a nonlinear objective function of tax revenues from the tax rate.
{"title":"Application of an Extreme Regulator to Control an Inertial Object","authors":"V. Gusev","doi":"10.1109/SmartIndustryCon57312.2023.10110798","DOIUrl":"https://doi.org/10.1109/SmartIndustryCon57312.2023.10110798","url":null,"abstract":"The problem of object management in conditions of uncertainty, when there is no formalized description, and measurements are made at certain intervals, is considered. It is assumed that the dependence of the objective function on the control parameter is quite smooth and does not have sharp jumps. The construction of control mechanisms in such a situation is associated with the problem of an extreme regulator that automatically searches for and maintains the extreme value of the regulated value. The problem boils down to the problem of finding the extremum for a nonstationary objective function, when its values, depending on the components of the control vector, are set only on a discrete set of moments. To find a solution, a discrete method of unconditional optimization of the gradient type is proposed. The conditions of its application are considered. The application of the method is demonstrated on the numerical model of an extreme regulator designed to manage a non-stationary object with a nonlinear objective function of tax revenues from the tax rate.","PeriodicalId":157877,"journal":{"name":"2023 International Russian Smart Industry Conference (SmartIndustryCon)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115336793","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}
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