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Multi-model Description of Monitoring and Control Systems of Natural and Technological Objects

Boris Sokolov / Mikhail Okhtilev / Semyon Potryasaev / Yuri Merkuryev
Published Online: 2014-01-25 | DOI: https://doi.org/10.2478/itms-2013-0001


The paper discusses theoretical foundations of a formal description of monitoring and control systems (MTSs) that are used for the monitoring and control of various natural and technological systems (NTSs). The performed state-of-theart analysis has demonstrated that the theory, methods and techniques related to the application of various types of models, such as mathematical, logical-algebraic, logical-linguistic, simulation and combined ones, for describing NTO MCS are widely used. On that basis, a conceptual description of NTO monitoring and control systems is proposed. It is based on a concept of NTO MCS multi-model description. The proposed general model includes particular dynamic models that describe motion control, channel control, operation control, flow control, resource control, operation parameter control, structure dynamic control, and auxiliary operation control of the considered monitoring and control system. The proposed interpretation of NTO MCS structure dynamics control processes provides advantages of applying the modern optimal control theory to NTO MCS analysis and synthesis.

Keywords : Models; monitoring and control systems; multicriteria analysis; multi-model description; natural and technological objects

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About the article

Boris Sokolov

Boris V. Sokolov, Professor (1994), obtained a degree of Dr.sc.ing. from Mozhaisky Military Space Engineering Academy (St. Petersburg, former Leningrad) in 1993. He is an honoured scientist of the Russian Federation (2007). He is a Deputy Director for Research, St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences (SPIIRAS). He is the author of 320 publications, including 3 monographs and 4 textbooks. Prof. B.V. Sokolov is a specialist in the field of systems analysis and operations research. Research interests: development of researchfundamentals for the control theory by structural dynamics of complex organizational-technical systems. Prof. Sokolov is a Full member of the International Academy of Informatization, corresponding member of the Academy of Astronautics. Contact data: 14th line, 39, St.Petersburg, 199178, Russia;

Mikhail Okhtilev

Michail Yu. Okhtilev. Education: A.F. Mozaisky Academy in Leningrad/St. Petersburg (1982). Scientific and university degrees: Ph.D Eng, Dr. Sc. Eng. and Prof. in 1988, 2000 and 2002 respectively. He is the Head of Research Group of Artificial Intelligence Technology in Operations Research Modelling at St. Petersburg Institute of Informatics and Automation of the RAS (SPIIRAS). Publications: more than 150 scientific papers, 6 books. Fields of research: Artificial Intelligence, Mathematical Linguistics, Mathematical Logic, Real Time Systems, Theoretical Programming (Computer Science), Theory of Algorithms. Prof. Okhtilev is a Full member of the International Academy of Navigation and Management Movement. Contact data: 14th line, 39, St.Petersburg, 199178, Russia;

Semyon Potryasaev

Semyon A. Potryasaev has graduated from the Baltic State Technical University “VOENMEH” with a specialisation of Control Systems Engineer and from Moscow Institute of International Economic Relations as an Economist in Finance and Credit. He successfully defended his doctoral thesis in 2004 at Saint Petersburg Institute for Informatics and Automation of the Russian Academy of Science (SPIIRAS). At present, he works as a Senior Researcher at Saint Petersburg Institute for Informatics and Automation of the Russian Academy of Science. Previously he worked at commercial educational centres as a Trainer and Consultant on information security and web technologies. Research interests: applied research in mathematical modelling, optimal control theory, mathematical models and methods of support and decision making in complex organizationtechnical systems under uncertainty and multiple criteria. Contact data: 14th line, 39, St.Petersburg, 199178, Russia;

Yuri Merkuryev

Yuri Merkuryev is a Professor, Head of the Department of Modelling and Simulation of Riga Technical University. He obtained the Dr.sc.ing. degree in System Identification in 1982, and Dr.habil.sc.ing. degree in Systems Simulation in 1997, both from Riga Technical University. His professional interests include modelling and simulation of complex systems, methodology of discrete-event simulation, supply chain simulation and management, as well as education in the areas of simulation and logistics management. Professor Merkuryev is a corresponding member of the Latvian Academy of Sciences, president of the Latvian Simulation Society, board member of the Federation of European Simulation Societies (EUROSIM), senior member of the Society for Modelling and Simulation International (SCS), and chartered fellow of British Computer Society. He is an associate editor of Simulation: Transactions of The Society for Modelling and Simulation International and editorial board member of International Journal of Simulation and Process Modelling. He is the author of more than 300 scientific publications, including 7 books and 6 textbooks. Contact information: Riga Technical University, 1 Kalku Str., LV-1658, Riga, Latvia;

Published Online: 2014-01-25

Published in Print: 2013-12-01

Citation Information: Information Technology and Management Science, Volume 16, Issue 1, Pages 11–17, ISSN (Online) 2255-9094, ISSN (Print) 2255-9086, DOI: https://doi.org/10.2478/itms-2013-0001.

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