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Excitation allocation for generic identifiability of a single module in dynamic networks: A graphic approach

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Abstract

For identifiability of a single module in a dynamic network, excitation signals need to be allocated at particular nodes in the network. Current techniques provide analysis tools for verifying identifiability in a given situation, but hardly address the synthesis question: where to allocate the excitation signals to achieve generic identifiability. Starting from the graph topology of the considered network model set, a new analytic result for generic identifiability of a single module is derived based on the concept of disconnecting sets. For the situation that all node signals are measured, the vertices in a particular disconnecting set provide the potential locations to allocate the excitation signals. Synthesis approaches are then developed to allocate excitation signals to guarantee generic identifiability.

Original languageEnglish
Pages (from-to)40-45
Number of pages6
JournalIFAC-PapersOnLine
Volume53
Issue number2
DOIs
Publication statusPublished - 2020
Event21st World Congress of the International Federation of Aufomatic Control (IFAC 2020 World Congress) - Berlin, Germany
Duration: 12 Jul 2020 → 17 Jul 2020
Conference number: 21
https://www.ifac2020.org/

Funding

This project has received funding from the European Research Council (ERC), Advanced Research Grant SYSDYNET, under the European Union's Horizon 2020 research and innovation programme (grant agreement No 694504). Council (fiRC), Advanced Research Grant SYSDYNfiT, under the fi★ uTrohpiseapnroUjenciotnh’sasHorericzeoivne2d02fu0nrdeisnegarcfrhomandthinenfoivuartoipoenapnroRgersaemarmche Cgoruanntcial g(rfeiRemCe)n, tANdvoa6n9c4e5d04R)e.search Grant SYSDYNfiT, under the fiuropean Union’s Horizon 2020 research and innovation programme (grant agreement No 694504).

FundersFunder number
European Union's Horizon 2020 - Research and Innovation Framework Programme
European Union's Horizon 2020 - Research and Innovation Framework Programme
European Union's Horizon 2020 - Research and Innovation Framework Programme694504

    Keywords

    • Dynamic networks
    • Graph theory
    • Identifiability
    • System identification

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