Data-driven approximations of dynamical systems operators for control

DOI10.1007/978-3-030-35713-9_8zbMath1453.93047arXiv1902.10239OpenAlexW2937374275MaRDI QIDQ2212183

Steven L. Brunton, Eurika Kaiser, J. Nathan Kutz

Publication date: 19 November 2020

Full work available at URL: https://arxiv.org/abs/1902.10239

zbMATH Keywords

system identificationdata-driven modelingKoopman transport operatorsPerron Frobenius transport operators

Mathematics Subject Classification ID

System identification (93B30) Operator-theoretic methods (93B28)

Related Items (4)

Modern Koopman Theory for Dynamical Systems ⋮ Optimal Control of Oscillation Timing and Entrainment Using Large Magnitude Inputs: An Adaptive Phase-Amplitude-Coordinate-Based Approach ⋮ Koopman form of nonlinear systems with inputs ⋮ Geometric considerations of a good dictionary for Koopman analysis of dynamical systems: cardinality, ``primary eigenfunction, and efficient representation

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