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Subspace Identifica...
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Yu, ChengpuBeijing Inst Technol, Peoples R China; Delft Univ Technol, Netherlands
(author)
Subspace Identification of Local Systems in One-Dimensional Homogeneous Networks
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IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC,2018
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Numbers
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LIBRIS-ID:oai:DiVA.org:liu-147389
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https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-147389URI
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https://doi.org/10.1109/TAC.2017.2738919DOI
Supplementary language notes
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Language:English
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Summary in:English
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Subject category:ref swepub-contenttype
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Subject category:art swepub-publicationtype
Notes
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Funding Agencies|European Research Council under European Unions Seventh Framework Programme (FP7)/ERC [339681]
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This note considers the identification of large-scale one-dimensional networks consisting of identical LTI dynamical systems. A subspace identification method is developed that only uses local input-output information and does not rely on knowledge about the local state interaction. The proposed identification method estimates the Markov parameters of a locally lifted system, following the state-space realization of a single subsystem. The Markov-parameter estimation is formulated as a rank minimization problem by exploiting the low-rank property and the two-layer Toeplitz structural property in the data equation, whereas the state-space realization of a single subsystem is formulated as a structured low-rank matrix-factorization problem. The effectiveness of the proposed identification method is demonstrated by simulation examples.
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Verhaegen, MichelDelft Univ Technol, Netherlands
(author)
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Hansson, AndersLinköpings universitet,Reglerteknik,Tekniska fakulteten(Swepub:liu)andha17
(author)
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Beijing Inst Technol, Peoples R China; Delft Univ Technol, NetherlandsDelft Univ Technol, Netherlands
(creator_code:org_t)
Related titles
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In:IEEE Transactions on Automatic Control: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC63:4, s. 1126-11310018-92861558-2523
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