Difference between revisions of "GP SSM"

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(Some Early Papers)
m (Papers on Koopman Spectral methods)
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=== Papers on Koopman Spectral methods ===
 
=== Papers on Koopman Spectral methods ===
* S. Brunton, J. Proctor, N. Kutz, [[Media:DiscoveringEquationsFromData.pdf | Discovering Governing Equations from Data: Sparse Identification of Nonlinear Dyanmical Systems]], ''arXiv:1509.03580v1''
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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'' (also, [[Media:BruntonPNAS.pdf | PNAS Version of the paper]]).
 
* S. L. Brunton, B.W.Brunton, J.L. Proctor, J.N.  Kutz, [[Media:KoopmanInvariantSubspaces.pdf | Koopman Invariant Subspaces and Finite Linear Representations of Nonlinear Dynamical Systems for Control]], ''PLOS One'', vol. 11, no. 2, 2016.
 
* S. L. Brunton, B.W.Brunton, J.L. Proctor, J.N.  Kutz, [[Media:KoopmanInvariantSubspaces.pdf | Koopman Invariant Subspaces and Finite Linear Representations of Nonlinear Dynamical Systems for Control]], ''PLOS One'', vol. 11, no. 2, 2016.
 
* 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.

Revision as of 01:35, 9 January 2018

This page gathers references and materials related to the study of

  • Gaussian Process (GP) State Space Models (SSM)
  • Deep Learning
  • Koopman Spectral Methods.

Gaussian Process Approaches

Basic Gaussian Process Info

  • Rasmussen and Williams

Web Links

Papers on GP-SSMs


Deep Learning

Papers on Deep Learning

  • Soatto Paper

Web Links

Koopman Spectral Method

Papers on Koopman Spectral methods

Papers which are more oriented toward control

Papers which are more oriented toward fluids

Some Early Papers

Other Papers