Skip to main content
Join the official 2020 Python Developers SurveyStart the survey!

No project description provided

Project description

Model predictive control python toolbox

Documentation Status Build Status PyPI version

do-mpc is a comprehensive open-source toolbox for robust model predictive control (MPC) and moving horizon estimation (MHE). do-mpc enables the efficient formulation and solution of control and estimation problems for nonlinear systems, including tools to deal with uncertainty and time discretization. The modular structure of do-mpc contains simulation, estimation and control components that can be easily extended and combined to fit many different applications.

In summary, do-mpc offers the following features:

  • nonlinear and economic model predictive control
  • support for differential algebraic equations (DAE)
  • time discretization with orthogonal collocation on finite elements
  • robust multi-stage model predictive control
  • moving horizon state and parameter estimation
  • modular design that can be easily extended

The do-mpc software is Python based and works therefore on any OS with a Python 3.x distribution. do-mpc has been developed by Sergio Lucia and Alexandru Tatulea at the DYN chair of the TU Dortmund lead by Sebastian Engell. The development is continued at the IOT chair of the TU Berlin by Felix Fiedler and Sergio Lucia.

Installation instructions

Installation instructions are given here.

Documentation

Please visit our extensive documentation, kindly hosted on readthedocs.

Citing do-mpc

If you use do-mpc for published work please cite it as:

S. Lucia, A. Tatulea-Codrean, C. Schoppmeyer, and S. Engell. Rapid development of modular and sustainable nonlinear model predictive control solutions. Control Engineering Practice, 60:51-62, 2017

Please remember to properly cite other software that you might be using too if you use do-mpc (e.g. CasADi, IPOPT, ...)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for do-mpc, version 4.1.0
Filename, size File type Python version Upload date Hashes
Filename, size do_mpc-4.1.0-py3-none-any.whl (68.8 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size do_mpc-4.1.0.tar.gz (58.7 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page