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Cyber-Physical Systems in Complex Technologies and Process Control

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Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 95))

Abstract

In this paper the authors examine two main aspects of complex technological processes control implemented within the paradigm of a cyber-physical management system. These include controlled multi-agent cooperation (such as smart grids) and identification of mathematical models connecting different key performance indicators. The authors of this paper claim that system architecture based on intelligent agents’ concept outperforms ad-hoc implementations of distributed systems and architectures. The main advantages of a multi-agent system are the presence of a decision making layer, theory-based fault tolerance and scalability. Advanced distributed coordination and decision-making techniques allow more effective operation and availability. The internal general computational framework presented in the paper can be used for solving business tasks (for example, the task of routine optimization as a part of underlying multi-agent framework). The aforementioned system has been applied to solve a problem of power grid member communication. This multi-agent system was designed to control a power redistribution grid, containing one power plant and multiple zero-energy buildings (ZEBs), connected with a distributed knowledge base.

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Acknowledgements

The article is published with support of the project Erasmus+ 573545-EPP-1-2016-DE-EPPKA2-CBHE-JP “Applied curricula in space exploration and intelligent robotic systems (APPLE)” and describes the part of the project conducted at Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia.

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Correspondence to Vadim A. Onufriev .

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Katalinić, B., Kostenko, D., Onufriev, V.A., Potekhin, V.V. (2020). Cyber-Physical Systems in Complex Technologies and Process Control. In: Arseniev, D., Overmeyer, L., Kälviäinen, H., Katalinić, B. (eds) Cyber-Physical Systems and Control. CPS&C 2019. Lecture Notes in Networks and Systems, vol 95. Springer, Cham. https://doi.org/10.1007/978-3-030-34983-7_5

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  • DOI: https://doi.org/10.1007/978-3-030-34983-7_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-34982-0

  • Online ISBN: 978-3-030-34983-7

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