Difference between revisions of "GP SSM"

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(Some Early Papers)
(Papers which are more oriented toward fluids)
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* M.S Hemati, C.W. Rowley, E.A. Deem, L.N. Cattafesta, [[Media:DebiasingDMD.pdf | De-biasing the Dynamic Mode Decomposition for applied Koopman spectral analysis of noisy data sets]], ''arXiv:1502.03854v2''
 
* M.S Hemati, C.W. Rowley, E.A. Deem, L.N. Cattafesta, [[Media:DebiasingDMD.pdf | De-biasing the Dynamic Mode Decomposition for applied Koopman spectral analysis of noisy data sets]], ''arXiv:1502.03854v2''
 
* J.H. Tu, [[Media:DMDApplicationsTheory.pdf | Dynamic Mode Decomposition, Theory and Applications]], Ph.D. Thesis, Princeton, 2013.
 
* J.H. Tu, [[Media:DMDApplicationsTheory.pdf | Dynamic Mode Decomposition, Theory and Applications]], Ph.D. Thesis, Princeton, 2013.
 +
* S Bagheri, [[Media:ShearFlowsThesis.pdf | Analysis and Control of Transitional Shear Flows Using Global Modes]], Ph.D. Thesis, Royal Inst. Technology, Sweden, 2010.
  
 
==== Some Early Papers ====
 
==== Some Early Papers ====

Revision as of 01:47, 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