On the identifiability of dynamical networks * *Work supported by the Program Science Without Borders, CNPq - Conselho Nacional de Desenvolvimento Científico e Tecnologico, Brazil, and by the Belgian Programme on Interuniversity Attraction Poles, initiated by the Belgian Federal Science Policy Office.

Author:

Gevers Michel,Bazanella Alexandre S.,Parraga Adriane

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference13 articles.

1. A Bayesian approach to sparse dynamic network identification;Chiuso;Automatica,2012

2. Dynamic network structure identification with prediction error methods - basic examples. In USB Proc. 16-th IFAC Symp on System Identification (SYSID 2012), 876–881;Dankers,2012

3. Graphical models for causation, and the identification problem;Freedman;Evaluation Review,2004

4. Identification in dynamic networks: identifiability and experiment design issues. In IEEE (ed.), 54th IEEE Conf. Decision and Control (CDC2015), 4005–4010;Gevers,2015

5. Necessary and sufficient conditions for dynamical structure reconstruction of LTI networks;Gonçalves;IEEE Transactions on Automatic Control,2008

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