Difference between revisions of "GP SSM"

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* S. Brunton, J. Proctor, N. Kutz, [[Media:DiscoveringEquationsFromData.pdf | Discovering Governing Equations from Data: Sparse Identification of Nonlinear Dyanmical Systems]], ''arXiv:1509.03580v1''
 
* S. Brunton, J. Proctor, N. Kutz, [[Media:DiscoveringEquationsFromData.pdf | Discovering Governing Equations from Data: Sparse Identification of Nonlinear Dyanmical Systems]], ''arXiv:1509.03580v1''
 
* M. Budisic, R. Mohr, I. Mezic, [[Media:AppliedKoopmanism.pdf | Applied Koopmanism]], ''Chaos'', vol. 22, 2012.
 
* M. Budisic, R. Mohr, I. Mezic, [[Media:AppliedKoopmanism.pdf | Applied Koopmanism]], ''Chaos'', vol. 22, 2012.
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* J.L. Proctor, S.L. Brunton, J.N. Kutz, [[Media:DMDwithControl.pdf | Dynamic Mode Decomposition with Control]], SIAM J. Applied Dynamical Systems, vol. 15, no. 1, pp. 142-161, 2016.
  
 
=== Web Links ===
 
=== Web Links ===
 
* [http://dsc.ijs.si/jus.kocijan/GPdyn/ Bibliography on GP Models in Dynamical Systems]
 
* [http://dsc.ijs.si/jus.kocijan/GPdyn/ Bibliography on GP Models in Dynamical Systems]

Revision as of 00:07, 9 January 2018

This page gathers references and materials related to the study of "Gaussian Process (GP) State Space Models (SSM)," Deep Learning, and Koopman Spectral Methods.

Basic Gaussian Process Info

  • Rasmussen and Williams

Papers on GP-SSMs


Papers on Koopman Spectral methods

Web Links