/acados

Fast and embedded solvers for nonlinear optimal control

Primary LanguageCOtherNOASSERTION

acados

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Fast and embedded solvers for nonlinear optimal control.

General

  • acados offers interfaces to the programming languages C, Python, MATLAB and Octave
  • Documentation can be found on docs.acados.org
  • Forum: If you have any acados-related question, feel free to post on our forum discourse.acados.org.
  • Citing acados: references can be found here.

Installation

  1. Initialize all submodules

    git submodule update --recursive --init

  2. Build and install acados. Both a CMake and a Makefile based build system is supported at the moment. Please choose one and proceed with the corresponding paragraph.

    CMake

    Set the BLASFEO_TARGET in <acados_root>/CMakeLists.txt. For a list of supported targets, we refer to https://github.com/giaf/blasfeo/blob/master/README.md . Install acados as follows

    mkdir -p build
cd build
cmake .. # with optional arguments e.g. -DACADOS_WITH_OSQP=OFF/ON -DACADOS_INSTALL_DIR=<path_to_acados_installation_folder>
make install

    Make

    Set the BLASFEO_TARGET in <acados_root>/Makefile.rule. For a list of supported targets, we refer to https://github.com/giaf/blasfeo/blob/master/README.md . Install acados as follows

    make shared_library
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:<path_to_acados_folder>/lib
make examples_c
make run_examples_c

acados interfaces

acados written in C and offers interfaces to the programming languages C, Python, MATLAB and Octave.

C interface

  • This includes all functionality in <acados_root>/interfaces/acados_c.
  • Documentation can be found here: C API

MATLAB and Octave interface

  • The interface is written in MEX
  • It deals with the problem formulation described in this PDF
  • To get started
    • install acados as described above
    • Octave users: provide a CasADi version in <acados_root>/external/casadi_octave/. We recommend version 3.4.5. For Matlab, a CasADi version should be provided in <acados_root>/external/casadi_matlab/, however, this is done automatically when using the examples in the getting_started folder. On Linux machines with Octave 4.4.1. or later this can be done as follows: 
        cd external
  wget -q -nc --show-progress https://github.com/casadi/casadi/releases/download/3.4.5/casadi-linux-octave-4.4.1-v3.4.5.tar.gz
  mkdir -p casadi-octave
  tar -xf casadi-linux-octave-4.4.1-v3.4.5.tar.gz -C casadi-octave
    • Linux and MacOS users:
      • in a terminal navigate to <acados_root>/examples/acados_matlab_octave/getting_started
      • run source env.sh and start Matlab/Octave
    • Windows users:
      • start Matlab
      • run acados_examples_env.m in <acados_root>/examples/acados_matlab_octave
    • enjoy the examples in <acados_root>/examples/acados_matlab_octave/getting_started
  • More documentation can be found on docs.acados.org/interfaces/

Python interface

  • The interface is based on templated C code, header files and a Makefile, which are rendered with the templating engine Tera.
  • The generated C code can be easily deployed on embedded platforms.
  • The same problem formulation as for the MATLAB interface is used (see here).
  • The ctypes package is used to interact with the rendered Code.
  • CasADi is required and is downloaded automatically, when installing the Python interface using pip
  • More documentation can be found on docs.acados.org/interfaces/