Joseph Sang-Il Kwon

Statistical and Nonlinear Physics · 2017–2021

A researcher in the Science corpus: 3 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Joseph Sang-Il Kwon trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Steven L. Brunton
  2. J. Nathan Kutz
  3. Matthew O. Williams
  4. Prashant Mhaskar
  5. Eurika Kaiser
  6. Bethany Lusch
  7. Mohsen Heidarinejad
  8. Milan Korda
  9. Igor Mezi'c
  10. Clarence W. Rowley

Papers from Joseph Sang-Il Kwon's perspective

Ordered by how strongly the researchers Joseph Sang-Il Kwon trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Koopman Invariant Subspaces and Finite Linear Representations of Nonlinear Dynamical Systems for Control (PLoS ONE)
  2. Linear predictors for nonlinear dynamical systems: Koopman operator meets model predictive control (at - Automatisierungstechnik)
  3. Deep learning for universal linear embeddings of nonlinear dynamics
  4. Data-driven discovery of Koopman eigenfunctions for control (Machine Learning: Science and Technology)
  5. Distributed Model Predictive Control of Switched Nonlinear Systems with Scheduled Mode Transitions
  6. On dynamic mode decomposition: Theory and applications
  7. A Data–Driven Approximation of the Koopman Operator: Extending Dynamic Mode Decomposition (Journal of nonlinear science)
  8. Dynamic Mode Decomposition with Control (SIAM Journal on Applied Dynamical Systems)
  9. Dynamic mode decomposition of numerical and experimental data
  10. Turbulence, Coherent Structures, Dynamical Systems and Symmetry

Their papers