A Survey on the Methods and Results of Data-Driven Koopman Analysis in the Visualization of Dynamical Systems

IEEE Transactions on Big Data(2022)

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摘要
Koopman mode decomposition is a flow analysis technique developed by Igor Mezić in 2004, based upon the Koopman operator first proposed by Bernard Koopman in 1931. Via Koopman decomposition any non-chaotic well-sampled dynamic system – linear, non-linear, laminar or turbulent – is broken down into single-frequency repetitive components (modes). This paper presents a survey consolidating published ...
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关键词
Mathematical model,Nonlinear dynamical systems,Eigenvalues and eigenfunctions,Power system dynamics,Big Data
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