Transfer operator toolbox for numpy/torch.
-
Updated
Nov 25, 2020 - Python
Transfer operator toolbox for numpy/torch.
koopman operator examples
Library for the analysis of time-evolving graphs
Code for running the analyses from the article "Propofol destabilizies neural dynamics across cortex"
This repository is a supplementary documentation for the Multi-Model Parameterized Koopman (MMPK) framework capturing results through software and hardware deployments
For research into the application of Koopman operators at Boston University.
project for my essay on how to use neural networks to linearise nonlinear dynamical systems
This repository contains the code for bilinear models for serial manipulators and the corresponding ZNN controller developed for the purpose of trajectory tracking with the aforementioned models.
In this work, we present a novel approach that combines the power of Koopman operators and deep neural networks to generate a linear representation of the Duffing oscillator. This approach enables effective parameter estimation and accurate prediction of the oscillator's future behavior.
a little library to help me with things involving Koopman operators
Model-based Control using Koopman Operators
AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.
Koopman operator
Add a description, image, and links to the koopman-operators topic page so that developers can more easily learn about it.
To associate your repository with the koopman-operators topic, visit your repo's landing page and select "manage topics."