# acados **Repository Path**: wangshengkai111/acados ## Basic Information - **Project Name**: acados - **Description**: No description available - **Primary Language**: Unknown - **License**: BSD-2-Clause - **Default Branch**: dependabot/pip/docs/jinja2-3.1.6 - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2025-03-17 - **Last Updated**: 2025-03-17 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README ![](docs/_static/acados_logo.png) [![Appveyor status](https://ci.appveyor.com/api/projects/status/q0b2nohk476u5clg?svg=true)](https://ci.appveyor.com/project/roversch/acados) ![Github actions full build workflow](https://github.com/acados/acados/actions/workflows/full_build.yml/badge.svg) `acados` provides fast and embedded solvers for nonlinear optimal control. It is written in `C` and offers interfaces to the programming languages `Python`, `MATLAB` and `Octave`. ## General - `acados` implements 1. fast SQP-type solvers for Nonlinear Programming (NLP) formulations with an Optimal Control Problem (OCP) structure 2. efficient integration methods, also called *integrators*, to solve initial value problems with dynamic systems given as an ODE or index-1 DAE. These integrators can efficiently compute first and second-order sensitivities of the results. ## Documentation - Documentation can be found on [docs.acados.org](https://docs.acados.org/) - An overview of the interfaces can be found at [docs.acados.org/interfaces](https://docs.acados.org/interfaces) ## Forum - If you have any `acados`-related questions, feel free to post on our forum at [discourse.acados.org](https://discourse.acados.org/) ## Citing - References can be found at [docs.acados.org/citing](https://docs.acados.org/citing) ## Installation - Instructions can be found at [docs.acados.org/installation](https://docs.acados.org/installation)