acado repository

Repository Summary

Checkout URI https://github.com/clearpath-gbp/acado-release.git
VCS Type git
VCS Version upstream-patched
Last Updated 2015-03-16
Dev Status MAINTAINED
CI status No Continuous Integration
Released RELEASED
Package Tags No category tags.
Contributing Help Wanted (0)
Good First Issues (0)
Pull Requests to Review (0)

Packages

Name Version
acado 1.2.1

README

ACADO Toolkit Build Status Build status

Toolkit for Automatic Control and Dynamic Optimization

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 interface. The object-oriented design allows for convenient coupling of existing optimization packages and for extending it with user-written optimization routines.

More information about the toolkit can be found at the homepage.

CONTRIBUTING

No CONTRIBUTING.md found.

Repository Summary

Checkout URI https://github.com/clearpath-gbp/acado-release.git
VCS Type git
VCS Version upstream-patched
Last Updated 2015-03-16
Dev Status MAINTAINED
CI status No Continuous Integration
Released RELEASED
Package Tags No category tags.
Contributing Help Wanted (0)
Good First Issues (0)
Pull Requests to Review (0)

Packages

Name Version
acado 1.2.1

README

ACADO Toolkit Build Status Build status

Toolkit for Automatic Control and Dynamic Optimization

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 interface. The object-oriented design allows for convenient coupling of existing optimization packages and for extending it with user-written optimization routines.

More information about the toolkit can be found at the homepage.

CONTRIBUTING

No CONTRIBUTING.md found.