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Polympc

Light-weight C++ library for fast embedded nonlinear optimisation and optimal control

Install / Use

/learn @PREDICT-EPFL/Polympc
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

PolyMPC

Build Status

Documentation Status

PolyMPC: An Efficient and Extensible Tool for Real-Time Nonlinear Model Predictive Tracking and Path Following for Fast Mechatronic Systems. Developed at the Automatic Control laboratory EPFL as part of the AWESCO project.

Documentation

Information on installation, algorithms and API can be found here: polympc.rtfd.io

Description

PolyMPC an open-source C++ library for real-time embedded nonlinear optimal control that combines high computational performance, modularity and a simple and intuitive user interface. PolyMPC is a lightweight collection of optimised and loosely coupled tools for nonlinear optimisation and optimal control which includes several quadratic programming (QP) and nonlinear programming (NLP) solvers, quasi-Newton Hessian approximation and Hessian regularisation methods, a polynomial interpolation and approximation module and an implementation of the Chebyshev pseudospectral collocation method, a continuous algebraic Riccati equation (CARE) solver, linear quadratic regulator (LQR), and more.

Contact

Petr Listov - plistov@gmail.com

View on GitHub
GitHub Stars54
CategoryDevelopment
Updated4mo ago
Forks12

Languages

C++

Security Score

97/100

Audited on Nov 8, 2025

No findings