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Discovering conservation laws from data for control

Discovering conservation laws from data for control

2 November 2018
E. Kaiser
J. Nathan Kutz
Steven L. Brunton
ArXivPDFHTML

Papers citing "Discovering conservation laws from data for control"

4 / 4 papers shown
Title
Discovering Conservation Laws using Optimal Transport and Manifold
  Learning
Discovering Conservation Laws using Optimal Transport and Manifold Learning
Peter Y. Lu
Rumen Dangovski
M. Soljavcić
27
17
0
31 Aug 2022
Discovering conservation laws from trajectories via machine learning
Discovering conservation laws from trajectories via machine learning
Seungwoong Ha
Hawoong Jeong
PINN
AI4CE
26
10
0
08 Feb 2021
Data-driven model reduction of agent-based systems using the Koopman
  generator
Data-driven model reduction of agent-based systems using the Koopman generator
Jan-Hendrik Niemann
Stefan Klus
Christof Schütte
20
9
0
14 Dec 2020
Data-driven approximation of the Koopman generator: Model reduction,
  system identification, and control
Data-driven approximation of the Koopman generator: Model reduction, system identification, and control
Stefan Klus
Feliks Nuske
Sebastian Peitz
Jan-Hendrik Niemann
C. Clementi
Christof Schütte
31
222
0
23 Sep 2019
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