Difference between revisions of "GP SSM"

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m (Papers on Koopman Spectral methods)
m (Papers which are more oriented toward control)
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==== Papers which are more oriented toward control ====
 
==== Papers which are more oriented toward control ====
* D. Goswami and D.A. Paley, [[Media:GlobalBilinearization.pdf | Global Bilinearization and Controllability of Control-Affine Nonlinear Systems: A Koopman Spectral Approach]],  
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* D. Goswami and D.A. Paley, [[Media:GlobalBilinearization.pdf | Global Bilinearization and Controllability of Control-Affine Nonlinear Systems: A Koopman Spectral Approach]],
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* A. Surana, [[Media:KoopmanObserverSynthesis.pdf | Koopman Based Operator Synthesis for Control-Affine Noninear Systems]], ''Proc. IEEE Conf. Decision and Control'', 2016
  
 
==== Papers which are more oriented toward fluids ====
 
==== Papers which are more oriented toward fluids ====

Revision as of 01:12, 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