Identifiability of diffusively coupled linear networks with partial instrumentation*

Author:

Kivits E.M.M. (Lizan),Van den Hof Paul M.J.

Funder

Horizon 2020

European Research Council

Publisher

Elsevier BV

Subject

General Medicine

Reference23 articles.

1. Network identification with partial excitation and measurement;Bazanella,2019

2. Identifiability in dynamic acyclic networks with partial excitations and measurements. Submitted for publication in;Cheng;IEEE Transactions on Automatic Control,2022

3. Identification of dynamic models in complex networks with prediction error methods: Predictor input selection;Dankers;IEEE Transactions on Automatic Control,2016

4. Extracting physical parameters of mechanical models from identified state-space representations;De Angelis;Journal of Applied Mechanics,2002

5. The properties of the parameterization of ARMAX systems and their relevance for structural estimation and dynamic specification;Deistler;Economet-rica,1983

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1. Nonlinear Network Identifiability: The Static Case;2023 62nd IEEE Conference on Decision and Control (CDC);2023-12-13

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