ACADO toolkit

ACADO Toolkit is a software environment and algorithm collection for automatic control and dynamic optimization. It provides a general framework for using a great variety of algorithms for direct optimal control, including model predictive control, state and parameter estimation and robust optimization. ACADO Toolkit is implemented as self-contained C++ code and comes along with user-friendly Matlab interfaces. The object-oriented design allows for convenient coupling of existing optimization packages and for extending it with user-written optimization routines.

» Learn more about the features of ACADO Toolkit

This new intermediate release addresses multiple bugs in the ACADO Toolkit and ACADO for Matlab. A few new features were implemented in ACADO for Matlab (changelog) and a new version of the manual is released.

We also introduced our forum where you can post your questions and examples, replacing our e-mail support. This way the community can read and contribute.

Changes in ACADO:

1. Complete re-design of the symbolic expression class.
2. Complete re-design of C-Function handling.
3. Adapted the point and path constraints for detection of whether automatic differentiation is enabled.
4. New step size control of the BDF integrator

Changes in ACADO for Matlab

1. See the changelog + newly released manual

The April 20 release addresses some issues when compiling under Windows.

A first release of the Matlab interface for ACADO toolkit is available. Use your own ODE models in Matlab together with the strength of ACADO!