GitHub topics: koopman-operator
deeptime-ml/deeptime
Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation
Language: Python - Size: 13 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 796 - Forks: 85
erfunmirzaei/EBI4LDS
Code for "An Empirical Bernstein Inequality for Dependent Data in Hilbert Spaces and Applications"
Language: Python - Size: 84.3 MB - Last synced at: 14 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0
mathworks/Nonlinear-Model-Predictive-Control-Using-Koopman-Operator
This document explains the implementation of the Koopman Operator in conjunction with Model Predictive Control (MPC) to control a nonlinear system.
Language: MATLAB - Size: 720 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
datafold-dev/datafold
Extended Dynamic Mode Decomposition for system identification from time series data (with dictionary learning, control and streaming options). Diffusion Maps to extract geometric description from data.
Language: Python - Size: 8.85 MB - Last synced at: 9 days ago - Pushed at: 7 months ago - Stars: 30 - Forks: 3
MizuhoAOKI/koopman_operator
koopman operator examples
Language: Jupyter Notebook - Size: 2.22 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0
AtoosaParsa/GM-Koopman-public
A framework for data-driven modeling and analysis of granular materials in the strongly nonlinear regime using the modern Koopman theory
Language: Python - Size: 1.45 MB - Last synced at: 16 days ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0
msramada/linearizing-uncertainty-for-control
This code can be used to reproduce the results in our paper ``Linearizing uncertainties that matter for control: the Koopman operator in the dual control context''.
Language: Julia - Size: 15.8 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 4 - Forks: 0
nassircassamo/IODMD_SOWFA
This repository contains all the work developed in the context of the Master Thesis dissertation entitled Model Predictive Control for Wake Steering: a Koopman Dynamic Mode Decomposition Approach. The repository includes all developed documentation (dissertation, extended abstract, poster and presentation) source code (MATLAB script and functions), datasets and results (animations, articles).
Language: MATLAB - Size: 39.2 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 11 - Forks: 4
