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Associative Synthesis of Finite State Automata Model of a Controlled Object with Hyperdimensional Computing
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
Siberian Federal University.
2017 (English)Conference paper, Published paper (Refereed)
Abstract [en]

The main contribution of this paper is a study of the applicability of hyperdimensional computing and learning with an associative memory for modeling the dynamics of complex automation systems. Specifically, the problem of learning an evidence-based model of a plant in a distributed automation and control system is considered. The model is learned in the form a finite state automata. 

Place, publisher, year, edition, pages
Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2017.
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:ltu:diva-66594OAI: oai:DiVA.org:ltu-66594DiVA: diva2:1157439
Conference
43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017, Bejing, China, 29 October - 1 November 2017
Available from: 2017-11-16 Created: 2017-11-16 Last updated: 2017-11-24

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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  • de-DE
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