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applications

Applications of Simulation and Automation

arduino

Process Control Temperature Lab

ardupilot

ArduPlane, ArduCopter, ArduRover source

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

benmola.github.io

cdmdc

d3s

Data-driven dynamical systems toolbox.

data-driven-modeling-of-the-am2-model-using-dmdc

Dynamic mode decomposition with Control for Data-driven Modeling of Anaerobic Digestion Process

data_science

Python Data Science Course with TCLab

databook_matlab

Matlab files with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz http://www.databookuw.com/

databook_python

IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz

dde

Data-Driven Engineering

forecast-of-chemostat-dynamics-using-data-driven-approach

Using the Koopman Operator theory for the data-driven modeling of the Chemostat model

gekko

GEKKO Python for Machine Learning and Dynamic Optimization

invariant_manifolds_eigenfunctions

kipet

Development repository for Kipet.

koopman-mpc-comparison

koopmanmpc

Use the Koopman Operator for data-driven forecast of the Chemostat dynamics

kronic

Koopman Reduced-Order Nonlinear Identification and Control

mdc

Matlab Dynamics and Control

modified-sindy

Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributions from Data

order-reduction-of-adm1-model-using-dmd-method-

Model order reduction using Dynamic Mode Decomposition :Application to the Anaerobic Digestion Model N.1 (ADM1)

pdc

Process Dynamics and Control

pds

Machine Learning for Engineers

portfolio

py4e

Web site for www.py4e.com and source to the Python 3.0 textbook

pyadm1

PyADM1: a Python implementation of Anaerobic Digestion Model number 1

pydmd

Python Dynamic Mode Decomposition

pykoopman

A package for computing data-driven approximations to the Koopman operator.

pysensors

PySensors is a Python package for sparse sensor placement