16/06/2015
A New Platform for Robust Nonlinear MPC Available Online
DO-MPC proposes a new, modularized implementation and testing support for optimal control schemes based on MPC approaches. The goal of this software project is to offer a simple to use and efficient platform, that allows users to define and test their problems very fast and trouble-free. In most cases, such implementations are highly complex and cumbersome, requiring considerable coding effort that only produces hardcoded solutions for each individual test case. With DO-MPC we propose a generalized approach based on simple templates that can be edited for each individual problem. A robust and time efficient core module combines everything together automatically, such that the coding effort is reduced drastically. Taking advantage of state of the art third party software, DO-MPC is able to handle a wide variety of problems, making even large systems real time feasible.
The DO-MPC software is Python based and works therefore on any OS with a Python 2.7 distribution. DO-MPC has been developed at the DYN chair by Sergio Lucia, Alexandru Tatulea and Sebastian Engell and it can be downloaded FREE here
https://github.com/do-mpc/do-mpc/wiki
Please check this page for further information and example code from the developers.
