A kernel-based method for data-driven Koopman spectral analysis

Journal of Computational Dynamics

Volumn 2, Issue 2, 2015, Pages 247-265

  Williams, Matthew O ^a   Rowley, Clarence W ^b   Kevrekidis, Ioannis G ^b  

^a UNITED TECHNOLOGIES RESEARCH CENTER   (United States)

^b Princeton University   (United States)

Author keywords

Dynamic mode decomposition; Kernel methods; Koopman operator; Machine learning; Time series analysis

Indexed keywords

EID: 85018029552     PISSN: None     EISSN: 21582505     Source Type: Journal    
DOI: 10.3934/jcd.2015005     Document Type: Article

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