benmola

Data-driven-modeling-of-the-AM2-model-using-DMDc

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

ADToolbox

AD Toolbox: A python package for modeling and optimization on anaerobic digestion process

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

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

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.

benmola/ADToolbox

AD Toolbox: A python package for modeling and optimization on anaerobic digestion process

benmola/benmola.github.io

benmola/Data-Driven-Control-Of-The-Chemostat

benmola/BayesianOptimization

A Python implementation of global optimization with gaussian processes.

benmola/Portfolio

benmola/starter-hugo-academic2

benmola/starter-hugo-academic

benmola/py4e

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

benmola/invariant_manifolds_eigenfunctions

benmola/PyDMD

Python Dynamic Mode Decomposition

benmola/pysindy

A package for the sparse identification of nonlinear dynamical systems from data

benmola/GEKKO

GEKKO Python for Machine Learning and Dynamic Optimization

benmola/dde

Data-Driven Engineering

benmola/DMDcGP

Dynamic Mode Decomposition with Gaussian Process Regression for Control

benmola/scipy-lecture-notes

Tutorial material on the scientific Python ecosystem

benmola/pykoopman

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

benmola/pdc

Process Dynamics and Control

benmola/d3s

Data-driven dynamical systems toolbox.

benmola/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

benmola/pysensors

PySensors is a Python package for sparse sensor placement

benmola/kipet

Development repository for Kipet.

benmola/mdc

Matlab Dynamics and Control

benmola/PyADM1

PyADM1: a Python implementation of Anaerobic Digestion Model number 1

benmola/Forecast-of-chemostat-dynamics-using-data-driven-approach

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

benmola/Order-Reduction-of-ADM1-model-using-DMD-method-

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

benmola/Data-driven-modeling-of-the-AM2-model-using-DMDc

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

benmola/pds

Machine Learning for Engineers

benmola/TCLab

Software support for the Temperature Control Laboratory.

benmola/modified-SINDy

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

benmola/data_science

Python Data Science Course with TCLab