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Abstractions of lin...
Abstractions of linear dynamic networks for input selection in local module identification
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- Weerts, Harm H. M. (författare)
- Eindhoven Univ Technol, Netherlands
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- Linder, Jonas (författare)
- ABB Corp Res, Sweden
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- Enqvist, Martin (författare)
- Linköpings universitet,Reglerteknik,Tekniska fakulteten
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- Van den Hof, Paul M. J. (författare)
- Eindhoven Univ Technol, Netherlands
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(creator_code:org_t)
- PERGAMON-ELSEVIER SCIENCE LTD, 2020
- 2020
- Engelska.
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Ingår i: Automatica. - : PERGAMON-ELSEVIER SCIENCE LTD. - 0005-1098 .- 1873-2836. ; 117
- Relaterad länk:
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http://arxiv.org/pdf...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- In abstractions of linear dynamic networks, selected node signals are removed from the network, while keeping the remaining node signals invariant. The topology and link dynamics, or modules, of an abstracted network will generally be changed compared to the original network. Abstractions of dynamic networks can be used to select an appropriate set of node signals that are to be measured, on the basis of which a particular local module can be estimated. A method is introduced for network abstraction that generalizes previously introduced algorithms, as e.g. immersion and the method of indirect inputs. For this abstraction method it is shown under which conditions on the selected signals a particular module will remain invariant. This leads to sets of conditions on selected measured node variables that allow identification of the target module. (C) 2020 Elsevier Ltd. All rights reserved.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Telekommunikation (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Telecommunications (hsv//eng)
Nyckelord
- Dynamic networks; System identification; Closed-loop identification; Graph theory
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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