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Discussion for Home page

Dixon Devasia — Thu, 03 Oct 2019 11:27:35 -0000

I am trying to install the ACADo toolkit in my computer.
I am taking the MATLAB route.
I am using Matlab R2019b, Microsoft Visual C++ 2019.
When running make, it gives the following error:
Making ACADO...
***** 10%
**** 20%
*** 30%
*** 40%
*** 50%
***** 60%
**** 70%
*** 80%
*** 90%
*** 100%
*Error using mex
C:\Users\HAN not found; check that you are in the correct current folder, and check the spelling of 'C:\Users\HAN'.

Error in makehelper>execute_command (line 338)
eval(s);

Error in makehelper (line 269)
execute_command (cmd, DEBUG, SRCMEX{i}, ~PARALLEL) ;

Error in make (line 81)
makehelper(0, {});

Could you help me solve this?

Discussion for Home page

Joel Gamal Girgis — Tue, 17 Apr 2018 12:18:06 -0000

How Can I get measurements for 3 differential states from .txt file in "parameter estimation problem"?
Each state is in column in the file

Home modified by Milan Vukov

Milan Vukov — Sat, 16 Aug 2014 14:46:42 -0000

--- v32
+++ v33
@@ -1,59 +1 @@
-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](MATLAB Interface). 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](Features).
-
-# Download and installation instructions
-
-The ACADO Toolkit has been tested under Linux, OSX and Windows. Please choose appropriate link and follow the installation instructions:
-
-*    [Linux installation](Installation - CMake - Linux)
-*    [OS X installation](Installation - CMake - OS X)
-*    [Windows installation](Installation - CMake - Windows)
-
-# Some pointers
-
-[Documentation](Documentation): *Tutorials, manuals, source code documentation, ...*
-
-[MATLAB interface](MATLAB Interface): *Here you can find out more about the user-friendly MATLAB interface.*
-
-[Support](Support):
-
-*    *I need some help to set up and/or solve my problem...*
-*    *I found a bug, what should I do?*
-*    *I believe this or that can be improved in the code...*
-*    *I would like to contribute, how can I do that?*
-
-[How to setup my own projects?](Using CMake - UNIX - Common): *In case you would like to use ACADO from C++ here are some details on how to easy set up your own project.*
-
-[Citing the toolkit](Citing)
-
-[Developers](Developers): *Who we are?*
-
-# Blog
-
-[[project_blog_posts max_number=2 sort=timestamp]]
-
-For older entries you can go [here](https://sourceforge.net/p/acado/blog/).
-
-# Licensing information
-
-~~~~~
-ACADO Toolkit -- A Toolkit for Automatic Control and Dynamic Optimization.
-Copyright (C) 2008-2013 by Boris Houska, Hans Joachim Ferreau,
-Milan Vukov, Rien Quirynen, KU Leuven.
-Developed within the Optimization in Engineering Center (OPTEC)
-under supervision of Moritz Diehl. All rights reserved.
-
-ACADO Toolkit is free software; you can redistribute it and/or
-modify it under the terms of the GNU Lesser General Public
-License as published by the Free Software Foundation; either
-version 3 of the License, or (at your option) any later version.
-
-ACADO Toolkit is distributed in the hope that it will be useful,
-but WITHOUT ANY WARRANTY; without even the implied warranty of
-MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
-Lesser General Public License for more details.
-
-You should have received a copy of the GNU Lesser General Public
-License along with ACADO Toolkit; if not, write to the Free Software
-Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301  USA
-
-~~~~~
+The homepage has been moved to GitHub -- please take a look [here](http://acado.github.io).

Home modified by Milan Vukov

Milan Vukov — Tue, 12 Nov 2013 21:20:19 -0000

--- v31
+++ v32
@@ -27,6 +27,8 @@

 [Developers](Developers): *Who we are?*

+# Blog
+
 [[project_blog_posts max_number=2 sort=timestamp]]

 For older entries you can go [here](https://sourceforge.net/p/acado/blog/).

Home modified by Milan Vukov

Milan Vukov — Tue, 12 Nov 2013 21:18:36 -0000

--- v30
+++ v31
@@ -27,9 +27,9 @@

 [Developers](Developers): *Who we are?*

-[Blog](https://sourceforge.net/p/acado/blog/): *Here we post news from time to time.*
+[[project_blog_posts max_number=2 sort=timestamp]]

-[[project_blog_posts max_number=10 sort=timestamp mount_point=news]]
+For older entries you can go [here](https://sourceforge.net/p/acado/blog/).

 # Licensing information

Home modified by Milan Vukov

Milan Vukov — Tue, 12 Nov 2013 21:15:21 -0000

--- v29
+++ v30
@@ -29,6 +29,8 @@

 [Blog](https://sourceforge.net/p/acado/blog/): *Here we post news from time to time.*

+[[project_blog_posts max_number=10 sort=timestamp mount_point=news]]
+
 # Licensing information

 ~~~~~

Home modified by Milan Vukov

Milan Vukov — Thu, 07 Nov 2013 05:13:06 -0000

--- v28
+++ v29
@@ -27,7 +27,7 @@

 [Developers](Developers): *Who we are?*

-[Blog](https://sourceforge.net/p/acado/blog/): *Here we post news from time to time*
+[Blog](https://sourceforge.net/p/acado/blog/): *Here we post news from time to time.*

 # Licensing information

Home modified by Milan Vukov

Milan Vukov — Thu, 07 Nov 2013 03:41:07 -0000

--- v27
+++ v28
@@ -1,7 +1,4 @@
 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](MATLAB Interface). 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](Features).
-
-> **IMPORTANT** We are preparing a new release of the toolkit. That said, you are strongly encouraged to always check out the _stable_ branch of the repository as indicated in the installation instructions below.
-

 # Download and installation instructions

Home modified by Milan Vukov

Milan Vukov — Sun, 03 Nov 2013 12:10:49 -0000

--- v26
+++ v27
@@ -1,6 +1,6 @@
 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](MATLAB Interface). 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](Features).

-> **IMPORTANT** We are preparing a new release of the toolkit. That said, you are strongly encouraged to always check out the _stable_ branch of the repository as indicated in the installation instructions below. The transition should be completed by the end of October 2013.
+> **IMPORTANT** We are preparing a new release of the toolkit. That said, you are strongly encouraged to always check out the _stable_ branch of the repository as indicated in the installation instructions below.

 # Download and installation instructions

Home modified by Milan Vukov

Milan Vukov — Thu, 24 Oct 2013 22:59:55 -0000

--- v25
+++ v26
@@ -1,6 +1,7 @@
+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](MATLAB Interface). 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](Features).
+
 > **IMPORTANT** We are preparing a new release of the toolkit. That said, you are strongly encouraged to always check out the _stable_ branch of the repository as indicated in the installation instructions below. The transition should be completed by the end of October 2013.

-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](MATLAB Interface). 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](Features).

 # Download and installation instructions

@@ -12,18 +13,46 @@

 # Some pointers

-[Documentation](Documentation)
+[Documentation](Documentation): *Tutorials, manuals, source code documentation, ...*

-[MATLAB interface](MATLAB Interface)
+[MATLAB interface](MATLAB Interface): *Here you can find out more about the user-friendly MATLAB interface.*

-[How to setup my own projects?](Using CMake - UNIX - Common)
+[Support](Support):

-[Support](Support)
+*    *I need some help to set up and/or solve my problem...*
+*    *I found a bug, what should I do?*
+*    *I believe this or that can be improved in the code...*
+*    *I would like to contribute, how can I do that?*
+
+[How to setup my own projects?](Using CMake - UNIX - Common): *In case you would like to use ACADO from C++ here are some details on how to easy set up your own project.*

 [Citing the toolkit](Citing)

-[Developers](Developers)
+[Developers](Developers): *Who we are?*

-[Blog](https://sourceforge.net/p/acado/blog/)
+[Blog](https://sourceforge.net/p/acado/blog/): *Here we post news from time to time*

-Just in case you did not notice yet, we have a ***blog***, where we post news from time to time. The blog is located [here](https://sourceforge.net/p/acado/blog/).
+# Licensing information
+
+~~~~~
+ACADO Toolkit -- A Toolkit for Automatic Control and Dynamic Optimization.
+Copyright (C) 2008-2013 by Boris Houska, Hans Joachim Ferreau,
+Milan Vukov, Rien Quirynen, KU Leuven.
+Developed within the Optimization in Engineering Center (OPTEC)
+under supervision of Moritz Diehl. All rights reserved.
+
+ACADO Toolkit is free software; you can redistribute it and/or
+modify it under the terms of the GNU Lesser General Public
+License as published by the Free Software Foundation; either
+version 3 of the License, or (at your option) any later version.
+
+ACADO Toolkit is distributed in the hope that it will be useful,
+but WITHOUT ANY WARRANTY; without even the implied warranty of
+MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
+Lesser General Public License for more details.
+
+You should have received a copy of the GNU Lesser General Public
+License along with ACADO Toolkit; if not, write to the Free Software
+Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301  USA
+
+~~~~~