Allocation of excitation signals for generic identifiability of dynamic networks

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This paper studies generic identifiability of dynamic networks, in which the edges connecting the vertex signals are described by proper transfer functions, and partial vertices are excited by designed external signals. We assume that the topology of the underlying graph is known, and all the vertex signals are measured. We show that generic identifiability of a directed network is related to the existence of a set of disjoint directed pseudo-trees that cover all the edges of the underlying graph, based on which, an excitation allocation problem is studied, aiming to select the minimal number excitation signals to achieve the generic identifiability of the whole network. An algorithmic procedure thereby is devised for selecting locations of the external signals such that all the edges can be consistently estimated.

Originele taal-2Engels
Titel2019 IEEE 58th Conference on Decision and Control, CDC 2019
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Aantal pagina's6
ISBN van elektronische versie9781728113982
StatusGepubliceerd - dec 2019
Evenement58th IEEE Conference on Decision and Control (CDC 2019) - Nice, Frankrijk
Duur: 11 dec 201913 dec 2019


Congres58th IEEE Conference on Decision and Control (CDC 2019)
Verkorte titelCDC 2019
Internet adres


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