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Structure Identifiability of an NDS with LFT Parametrized Subsystems
Requirements on subsystems have been made clear in this paper for a linear
time invariant (LTI) networked dynamic system (NDS), under which subsystem
interconnections can be estimated from external output measurements. In this
NDS, subsystems may have distinctive dynamics, and subsystem interconnections
are arbitrary. It is assumed that system matrices of each subsystem depend on
its (pseudo) first principle parameters (FPPs) through a linear fractional
transformation (LFT). It has been proven that if in each subsystem, the
transfer function matrix (TFM) from its internal inputs to its external outputs
is of full normal column rank (FNCR), while the TFM from its external inputs to
its internal outputs is of full normal row rank (FNRR), then the NDS is
structurally identifiable. Moreover, under some particular situations like
there are no direct information transmission from an internal input to an
internal output in each subsystem, a necessary and sufficient condition is
established for NDS structure identifiability. A matrix valued polynomial (MVP)
rank based equivalent condition is further derived, which depends affinely on
subsystem (pseudo) FPPs and can be independently verified for each subsystem.
From this condition, some necessary conditions are obtained for both subsystem
dynamics and its (pseudo) FPPs, using the Kronecker canonical form (KCF) of a
matrix pencil.Comment: 16 page
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