{"title":"Network Redundant DCS Configuration Management","authors":"N. Zakharov, V. Klepikov, D. Podkhvatilin","doi":"10.25728/ASSA.2020.20.1.825","DOIUrl":null,"url":null,"abstract":"An approach to the configuration management of a distributed control system with redundant components is proposed. The approach is based on a formalized vector-matrix representation of sets of system components, possible system configurations and functional relationships between them.","PeriodicalId":39095,"journal":{"name":"Advances in Systems Science and Applications","volume":"20 1","pages":"83-90"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Systems Science and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25728/ASSA.2020.20.1.825","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 2
Abstract
An approach to the configuration management of a distributed control system with redundant components is proposed. The approach is based on a formalized vector-matrix representation of sets of system components, possible system configurations and functional relationships between them.
期刊介绍：
Advances in Systems Science and Applications (ASSA) is an international peer-reviewed open-source online academic journal. Its scope covers all major aspects of systems (and processes) analysis, modeling, simulation, and control, ranging from theoretical and methodological developments to a large variety of application areas. Survey articles and innovative results are also welcome. ASSA is aimed at the audience of scientists, engineers and researchers working in the framework of these problems. ASSA should be a platform on which researchers will be able to communicate and discuss both their specialized issues and interdisciplinary problems of systems analysis and its applications in science and industry, including data science, artificial intelligence, material science, manufacturing, transportation, power and energy, ecology, corporate management, public governance, finance, and many others.
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