ROS Index
Package Summary
| Tags | No category tags. |
| Version | 1.2.1 |
| License | LGPL3 |
| Build type | CMAKE |
| Use | RECOMMENDED |
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 | Continuous Integration |
| Released | RELEASED |
| Tags | No category tags. |
| Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
Additional Links
Maintainers
- Mike Purvis
Authors
- Milan Vukov
- Rien Quirynen
ACADO Toolkit 
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.
Wiki Tutorials
Launch files
Messages
Services
Plugins
Recent questions tagged acado at Robotics Stack Exchange
Package Summary
| Tags | No category tags. |
| Version | 1.2.1 |
| License | LGPL3 |
| Build type | CMAKE |
| Use | RECOMMENDED |
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 | Continuous Integration |
| Released | RELEASED |
| Tags | No category tags. |
| Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
Additional Links
Maintainers
- Mike Purvis
Authors
- Milan Vukov
- Rien Quirynen
ACADO Toolkit
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.
Wiki Tutorials
Launch files
Messages
Services
Plugins
Recent questions tagged acado at Robotics Stack Exchange
Package Summary
| Tags | No category tags. |
| Version | 1.2.1 |
| License | LGPL3 |
| Build type | CMAKE |
| Use | RECOMMENDED |
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 | Continuous Integration |
| Released | RELEASED |
| Tags | No category tags. |
| Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
Additional Links
Maintainers
- Mike Purvis
Authors
- Milan Vukov
- Rien Quirynen
ACADO Toolkit
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.
Wiki Tutorials
Launch files
Messages
Services
Plugins
Recent questions tagged acado at Robotics Stack Exchange
Package Summary
| Tags | No category tags. |
| Version | 1.2.1 |
| License | LGPL3 |
| Build type | CMAKE |
| Use | RECOMMENDED |
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 | Continuous Integration |
| Released | RELEASED |
| Tags | No category tags. |
| Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
Additional Links
Maintainers
- Mike Purvis
Authors
- Milan Vukov
- Rien Quirynen
ACADO Toolkit
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.
Wiki Tutorials
Launch files
Messages
Services
Plugins
Recent questions tagged acado at Robotics Stack Exchange
Package Summary
| Tags | No category tags. |
| Version | 1.2.1 |
| License | LGPL3 |
| Build type | CMAKE |
| Use | RECOMMENDED |
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 | Continuous Integration |
| Released | RELEASED |
| Tags | No category tags. |
| Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
Additional Links
Maintainers
- Mike Purvis
Authors
- Milan Vukov
- Rien Quirynen
ACADO Toolkit
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.
Wiki Tutorials
Launch files
Messages
Services
Plugins
Recent questions tagged acado at Robotics Stack Exchange
Package Summary
| Tags | No category tags. |
| Version | 1.2.1 |
| License | LGPL3 |
| Build type | CMAKE |
| Use | RECOMMENDED |
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 | Continuous Integration |
| Released | RELEASED |
| Tags | No category tags. |
| Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
Additional Links
Maintainers
- Mike Purvis
Authors
- Milan Vukov
- Rien Quirynen
ACADO Toolkit
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.
Wiki Tutorials
Launch files
Messages
Services
Plugins
Recent questions tagged acado at Robotics Stack Exchange
Package Summary
| Tags | No category tags. |
| Version | 1.2.1 |
| License | LGPL3 |
| Build type | CMAKE |
| Use | RECOMMENDED |
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 | Continuous Integration |
| Released | RELEASED |
| Tags | No category tags. |
| Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
Additional Links
Maintainers
- Mike Purvis
Authors
- Milan Vukov
- Rien Quirynen
ACADO Toolkit
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.
Wiki Tutorials
Launch files
Messages
Services
Plugins
Recent questions tagged acado at Robotics Stack Exchange
Package Summary
| Tags | No category tags. |
| Version | 1.2.1 |
| License | LGPL3 |
| Build type | CMAKE |
| Use | RECOMMENDED |
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 | Continuous Integration |
| Released | RELEASED |
| Tags | No category tags. |
| Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
Additional Links
Maintainers
- Mike Purvis
Authors
- Milan Vukov
- Rien Quirynen
ACADO Toolkit
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.
Wiki Tutorials
Launch files
Messages
Services
Plugins
Recent questions tagged acado at Robotics Stack Exchange
Package Summary
| Tags | No category tags. |
| Version | 1.2.1 |
| License | LGPL3 |
| Build type | CMAKE |
| Use | RECOMMENDED |
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 | Continuous Integration |
| Released | RELEASED |
| Tags | No category tags. |
| Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
Additional Links
Maintainers
- Mike Purvis
Authors
- Milan Vukov
- Rien Quirynen
ACADO Toolkit
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.
Wiki Tutorials
Launch files
Messages
Services
Plugins
Recent questions tagged acado at Robotics Stack Exchange
Package Summary
| Tags | No category tags. |
| Version | 1.2.1 |
| License | LGPL3 |
| Build type | CMAKE |
| Use | RECOMMENDED |
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 | Continuous Integration |
| Released | RELEASED |
| Tags | No category tags. |
| Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
Additional Links
Maintainers
- Mike Purvis
Authors
- Milan Vukov
- Rien Quirynen
ACADO Toolkit
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.
Wiki Tutorials
Launch files
Messages
Services
Plugins
Recent questions tagged acado at Robotics Stack Exchange
Package Summary
| Tags | No category tags. |
| Version | 1.2.1 |
| License | LGPL3 |
| Build type | CMAKE |
| Use | RECOMMENDED |
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 | Continuous Integration |
| Released | RELEASED |
| Tags | No category tags. |
| Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
Additional Links
Maintainers
- Mike Purvis
Authors
- Milan Vukov
- Rien Quirynen
ACADO Toolkit
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.
Wiki Tutorials
Launch files
Messages
Services
Plugins
Recent questions tagged acado at Robotics Stack Exchange
Package Summary
| Tags | No category tags. |
| Version | 1.2.1 |
| License | LGPL3 |
| Build type | CMAKE |
| Use | RECOMMENDED |
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 | Continuous Integration |
| Released | RELEASED |
| Tags | No category tags. |
| Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
Additional Links
Maintainers
- Mike Purvis
Authors
- Milan Vukov
- Rien Quirynen
ACADO Toolkit
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.
Wiki Tutorials
Launch files
Messages
Services
Plugins
Recent questions tagged acado at Robotics Stack Exchange
Package Summary
| Tags | No category tags. |
| Version | 1.2.1 |
| License | LGPL3 |
| Build type | CMAKE |
| Use | RECOMMENDED |
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 | Continuous Integration |
| Released | RELEASED |
| Tags | No category tags. |
| Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
Additional Links
Maintainers
- Mike Purvis
Authors
- Milan Vukov
- Rien Quirynen
ACADO Toolkit
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.
Wiki Tutorials
Launch files
Messages
Services
Plugins
Recent questions tagged acado at Robotics Stack Exchange
Package Summary
| Tags | No category tags. |
| Version | 1.2.1 |
| License | LGPL3 |
| Build type | CMAKE |
| Use | RECOMMENDED |
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 | Continuous Integration |
| Released | RELEASED |
| Tags | No category tags. |
| Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
Additional Links
Maintainers
- Mike Purvis
Authors
- Milan Vukov
- Rien Quirynen
ACADO Toolkit
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.
Wiki Tutorials
Launch files
Messages
Services
Plugins
Recent questions tagged acado at Robotics Stack Exchange
Package Summary
| Tags | No category tags. |
| Version | 1.2.1 |
| License | LGPL3 |
| Build type | CMAKE |
| Use | RECOMMENDED |
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 | Continuous Integration |
| Released | RELEASED |
| Tags | No category tags. |
| Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
Additional Links
Maintainers
- Mike Purvis
Authors
- Milan Vukov
- Rien Quirynen
ACADO Toolkit
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.
Wiki Tutorials
Launch files
Messages
Services
Plugins
Recent questions tagged acado at Robotics Stack Exchange
Package Summary
| Tags | No category tags. |
| Version | 1.2.1 |
| License | LGPL3 |
| Build type | CMAKE |
| Use | RECOMMENDED |
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 | Continuous Integration |
| Released | RELEASED |
| Tags | No category tags. |
| Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
Additional Links
Maintainers
- Mike Purvis
Authors
- Milan Vukov
- Rien Quirynen
ACADO Toolkit
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.
Wiki Tutorials
Launch files
Messages
Services
Plugins
Recent questions tagged acado at Robotics Stack Exchange
Package Summary
| Tags | No category tags. |
| Version | 1.2.3 |
| License | LGPL3 |
| Build type | CMAKE |
| Use | RECOMMENDED |
Repository Summary
| Checkout URI | https://github.com/tud-cor/acado.git |
| VCS Type | git |
| VCS Version | tudelft-stable |
| Last Updated | 2019-03-28 |
| Dev Status | UNMAINTAINED |
| CI status | Continuous Integration |
| Released | RELEASED |
| Tags | No category tags. |
| Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
Additional Links
Maintainers
- Ronald Ensing
Authors
- Milan Vukov
- Rien Quirynen
ACADO Toolkit
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.
Wiki Tutorials
Launch files
Messages
Services
Plugins
Recent questions tagged acado at Robotics Stack Exchange
Package Summary
| Tags | No category tags. |
| Version | 1.2.3 |
| License | LGPL3 |
| Build type | CMAKE |
| Use | RECOMMENDED |
Repository Summary
| Checkout URI | https://github.com/tud-cor/acado.git |
| VCS Type | git |
| VCS Version | tudelft-stable |
| Last Updated | 2019-03-28 |
| Dev Status | UNMAINTAINED |
| CI status | Continuous Integration : 0 / 0 |
| Released | RELEASED |
| Tags | No category tags. |
| Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
Additional Links
Maintainers
- Ronald Ensing
Authors
- Milan Vukov
- Rien Quirynen
ACADO Toolkit
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.
Wiki Tutorials
Launch files
Messages
Services
Plugins
Recent questions tagged acado at Robotics Stack Exchange
Package Summary
| Tags | No category tags. |
| Version | 1.2.1 |
| License | LGPL3 |
| Build type | CMAKE |
| Use | RECOMMENDED |
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 | Continuous Integration |
| Released | RELEASED |
| Tags | No category tags. |
| Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
Additional Links
Maintainers
- Mike Purvis
Authors
- Milan Vukov
- Rien Quirynen
ACADO Toolkit
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.