ACADO toolkit

Automatic Control and Dynamic Optimization

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Features
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Documentation
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Installation
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Tutorials
Online Tutorials - Time Optimal Control of a Rocket Flight
Online Tutorials - Initialization of Nonlinear Optimization Algorithms
Online Tutorials - Tuning Options and Numerical Accuracy
Online Tutorials - Storing the Results of an Optimization Routine
Online Tutorials - Optimal Control of Hybrid- and Multi-Stage Processes
Online Tutorials - Optimization of Differential Algebraic Systems (DAEs)
Online Tutorials - Optimal Control of Discrete-Time Systems
Online Tutorials - Multi-Objective Optimal Control Problems (MOOCPs)
Online Tutorials - Static Optimization Problem with Two Objectives
Online Tutorials - Static Optimization Problem with Three Objectives
Online Tutorials - Dynamic Optimization Problem with Two Objectives
Online Tutorials - A State and Parameter Estimation Tutorial
Online Tutorials - A Model Predictive Control (MPC) Tutorial
Online Tutorials - Simulation of a Dynamic System
Online Tutorials - Sensitivity Generation for Dynamic Systems
Debugging tools - Inspecting IntermediateStates, DifferentialStates and Expressions
    
Matlab
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ACADO for Matlab - Documentation
   

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Current Release

1.0.2313beta (02-09-2010)
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ACADO Toolkit: A C++/Matlab Toolkit for Automatic Control and Dynamic Optimization.
Solutions for: Optimal Control Problems (OCP), Model Predictive Control (NMPC), Parameter Estimation with ODE's and DAE's.

Copyright © 2008-2010 by Boris Houska and Hans Joachim Ferreau, K.U.Leuven.

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