Spectral Identification of Networks Using Sparse Measurements

DOI10.1137/16M105722XzbMath1417.93113arXiv1601.04364OpenAlexW2963783972MaRDI QIDQ2967812

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Publication date: 2 March 2017

Published in: SIAM Journal on Applied Dynamical Systems (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1601.04364

zbMATH Keywords

spectral graph theoryKoopman operatornetwork identification

Mathematics Subject Classification ID

Applications of graph theory (05C90) System identification (93B30) Nonlinear systems in control theory (93C10) Eigenvalue problems (93B60) Operator-theoretic methods (93B28) Large-scale systems (93A15)

Related Items (7)

A dynamical approach to efficient eigenvalue estimation in general multiagent networks ⋮ High-dimensional time series prediction using kernel-based koopman mode regression ⋮ Koopman operator framework for time series modeling and analysis ⋮ Relative tempo of distributed averaging on networks ⋮ Koopman-based spectral clustering of directed and time-evolving graphs ⋮ Two methods to approximate the Koopman operator with a reservoir computer ⋮ Blind Identification of Stochastic Block Models from Dynamical Observations

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