acados is a software package for the efficient solution of optimal control and estimation problems.
It is the successor of the
ACADO software package
developed at KU Leuven and University of Freiburg by the team of Prof. Moritz Diehl.
It provides a collection of computationally efficient building blocks tailored to optimal control and estimation problems.
Among others, it implements: modules for the integration
of ordinary differential equations (ODE) and differential-algebraic equations (DAE),
interfaces to state-of-the-art QP solvers like
OSQP, condensing routines and nonlinear programming solvers
based on the real-time iteration framework.
The back-end of acados uses the high-performance linear algebra package
BLASFEO, in order
to boost computational efficiency for small to medium scale matrices
typical of embedded optimization applications.
Python interfaces can be used to conveniently describe optimal control problems and generate self-contained
C code that can be readily deployed on embedded platforms.
For more information see
or other papers stated under Citing and