Extending identifiability results from isolated networks to embedded networks
<|reference_start|>Extending identifiability results from isolated networks to embedded networks: This paper deals with the design of Excitation and Measurement Patterns (EMPs) for the identification of dynamical networks, when the objective is to identify only a subnetwork embedded in a larger network. Recent results have shown how to construct EMPs that guarantee identifiability for a range of networks with specific graph topologies, such as trees, loops, or Directed Acyclic Graphs (DAGs). However, an EMP that is valid for the identification of a subnetwork taken in isolation may no longer be valid when that subnetwork is embedded in a larger network. Our main contribution is to exhibit conditions under which it does remain valid, and to propose ways to enhance such EMP when these conditions are not satisfied.<|reference_end|>
@article{mapurunga2024extending,
    title={Extending identifiability results from isolated networks to embedded
  networks},
    author={Eduardo Mapurunga and Michel Gevers and Alexandre S. Bazanella},
    journal={arXiv preprint arXiv:2402.14144},
    year={2024},
    archivePrefix={arXiv},
    eprint={2402.14144},
    primaryClass={eess.SY cs.SY}
}