Showing 4 open source projects for "automatic control"

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  • 1
    OpenOCL Matlab

    OpenOCL Matlab

    Optimal control, trajectory optimization, model-predictive control.

    The Open Optimal Control Library is a software framework in Matlab/Octave for modeling optimal control problem. It uses automatic differentiation and fast non-linear programming solvers. It implements direct methods. In the backend it uses CasADi and ipopt.
    Downloads: 0 This Week
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  • 2
    MGSyn

    MGSyn

    MGSyn - Automatic Synthesis for Industrial Automation

    MGSyn (Model, Game, Synthesis) is an open-source tool which integrates game-based synthesis into model-driven development for industrial control and automation. It is served for research and educational purposes. MGSyn has been originally developed by Department of Informatics (Unit 6), TU München and fortiss GmbH and is now maintained by fortiss GmbH. The software is released under the GNU General Public License Version 3.0 (GPLv3). Please download the tutorial for step-by-step...
    Downloads: 0 This Week
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  • 3
    ACADO Toolkit

    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.
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  • 4
    pyLego
    Differential-algebraic simulator in python. Process and control systems are modelled w/ bloc diagrams. It allows algebraic loops, has an automatic steady-state computation, detects singular systems, and uses variable time-step transient integration.
    Downloads: 0 This Week
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