Global Structure Identifiability and Reconstructibility of an NDS with Descriptor Subsystems
Tong Zhou, Kailin Yin

TL;DR
This paper establishes matrix rank-based conditions for the global identifiability and reconstructibility of subsystem interactions in a networked dynamic system with descriptor subsystems, aiding in system analysis and experiment design.
Contribution
It derives necessary and sufficient conditions for identifiability and reconstructibility of subsystem interactions in NDS with descriptor form, considering minimal assumptions.
Findings
Identifiability conditions depend on matrix rank criteria.
Reconstructibility can be verified per subsystem, facilitating large-scale analysis.
Output differences are more sensitive near system instability.
Abstract
This paper investigates requirements on a networked dynamic system (NDS) such that its subsystem interactions can be solely determined from experiment data or reconstructed from its overall model. The NDS is constituted from several subsystems whose dynamics are described through a descriptor form. Except regularity on each subsystem and the whole NDS, no other restrictions are put on either subsystem dynamics or subsystem interactions. A matrix rank based necessary and sufficient condition is derived for the global identifiability of subsystem interactions, which leads to several conclusions about NDS structure identifiability when there is some a priori information. This matrix also gives an explicit description for the set of subsystem interactions that can not be distinguished from experiment data only. In addition, under a well-posedness assumption, a necessary and sufficient…
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