I have tried some matlab version (2011a, 2012b, and 2015a). The 2012b doesn't include the Control System Toolbox inside Simulink Library. The 2011a and 2015a do include the Control System Toolbox inside Simulink Library. But these Control System Toolboxes don't include LQR.
Do you know which version of Matlab that has the LQR in the Simulink Control System Toolbox?
Thank you!
For the MAthworks On-line Documentation, LQR is available in Matlab 2015a. Have a look at this
Edit31.03.2015
Well, what you can do is build it yourself. just drug and drop the basic blocks to build the control structure, create a subsystem and in the mask, you can initialize to to automatically calculate the LQR.
What you are saying doesn't make sense. There is no such thing (and never has been) as an LQR block. Can you show us which block you're talking about?
You need to compute your LQR controller in MATLAB using functions such as lqr, which have been part of the Control System Toolbox for ages, and then use the LTI block to include your controller into your Simulink model.
Note: what toolbox is and is not included in a release depends on your license, not on the release. What you are saying about R2012b not including the Control System Toolbox in Simulink doesn't make sense.
Related
I would like to use the Application Compiler (Appdesigner -->Standalone Desktop App) on my MATLAB app. This app calls a .m file which is using the rtwbuild command to deploy a Simulink model to an arduino. The app works well when run in MATLAB, however after compilation I receive an error with rtwbuild:
Error using rtwbuild
The Matlab Path must have these directories for Simulink to function:
toolbox/simulink/blocks, toolbox/simulink/simulink
Matlab cannot continue. Please restore the path and restart Matlab
The documentation says, that no Simulink functions are supported for the MATLAB Compiler (see here) and the rtwbuild function seems to be a Simulink function, since it is in the documentation in the category "Simulink Coder" (see here). However, I do not have the Simulink Coder Toolbox and the app was running in MATLAB anyway, so I am not sure if rtwbuild is really a Simulink function.
To keep it short, my question is the following:
"Is it possible to use the Application Compiler on .m scripts including the rtwbuild command?"
Thank you for your help!
rtwbuild is without a doubt a Simulink Function, which means the MATLAB-Coder can not generate code. More generally speaking, you can not deploy the code generator. Generating code from M or Simulink requires a full MATLAB (Simulink) to be running. It would be foolish to let you use such a key feature without a MATLAB (Simulink) license (personal opinion).
About your confusion about rtwbild being part of the Simulink Coder. The Support Package for Arduino Hardware allows you to use certain deployment features. You can for example get binaries, you can not access the C code without having a Coder License. For details refer to "Additional Capabilities with Simulink Coder and Embedded Coder" in the documentation.
The documentation does not reflect these special cases, but obviously TMW did not re-invent the wheel when providing the Support-Packages for Arduino. Instead some "Simulink Coder" functions do not require a Simulink Coder License when used with the code generation Target Arduino. Same is true for the Raspberry and to a limited extend for the (rapid) accelerator mode.
I want to make a biometric identification system of the ECG/EKG.
Provided that Matlab does not perform Data Acquisition in Real Time (for monitoring), is there any way to make the monitoring and data acquisition in LabVIEW and then work simultaneously with Matlab for signal processing?
You could just get a matlab compatible daq and run everything in matlab. http://www.mathworks.com/products/daq/
You can indeed do some data acquisition with LabView and work simultaneously with Matlab for signal processing by calling the Matlab script node, which executes some Matlab code during vi execution.
You may have some performance issues, though, because both Labview and Matlab have to run on your machine simultaneously.
Question:
is there any way to make the monitoring and data acquisition on
LabView and then work simultaneously with Matlab for signal processing
Answers:
LabVIEW has "MathScript" node which is basic MatLab built into
an add-on. It is not the MatLab toolboxes. It runs native MatLab
code. It also runs slightly faster LabVIEW updates to the code. If
your code runs there, then LabVIEW will pass data natively
to your code. This box does not have direct MatLab toolbox access, so if
you use any special calls then that can cause a problem.
If you have MatLab on the box, then you can call the external MatLab
function/code using mathscript (link), and the MatLab will run
the function.
Clarification:
Real time just means "bounded time" (link), not "instant". If your idea of bounds are loose enough then many systems can work for them. You do not state it in your question - but what do you consider acceptable response time?
I've worked a lot with LabVIEW and Matlab. Personally, I would not use the Math Scripting node and would opt for using the Matlab Automation Server. You can call Matlab from LabVIEW using the ActiveX palette in LabVIEW (See Functions>>Connectivity>>ActiveX>>Automation Open) A couple reasons why I'd go for ActiveX and NOT the MathScript node:
The Math Script node does not allow you to change code dynamically. You must hardcode your data into the Math Script node and any future changes would require a change to LabVIEW's G code and therefore a recompile of your EXE
The Math Script node does not support all functions when compiled to an executable. Most notably graphing functions. See the help file here to read more on this.
Calling Matlab from ActiveX is going to give you a lot more flexibility in regards to how data is passed and processed.
I'm trying to make a program to enhance an image in LabVIEW. I have already program in matlab codes, but its some built-in functions are not working in LabVIEW since it is not present in LabVIEW mathscript module. The algorithm used to enhance the image is written below
input image in RGB
Contrast stretching of the model
RGB to HSI
contrast stretching of S&I
display the RGB image
So please help to implement this algorithm in LabVIEW
MATLAB can make a dll from your m file (including all of your built-in functions) and then you can call that dll from your Labview. To do so, you need to install MATLAB Compiler Runtime (MCR) on your machine (You don't need that, if you have already installed MATLAB).
If you want to have standalone dll file (not using matlab runtime), you need to use MATLAB Coder (which probably you need to buy it).
I recommend to use MCR first because it is easier to start with and more flexible in using MATLAB features.
I am not really sure on this one. I wanted to know simulink is part of matlab software or if it is a product that can be bought and installed by itself.
Here's the relevant product dependency documentation. If you scroll down the list to Simulink, it states
Simulink
Requires MATLAB
Requires Fixed-Point Designer for simulating fixed-point data types
Some features require the use of a C Compiler. ...
Simulink cannot be run as standalone software, it requires MATLAB to be installed.
Can I install matlab on beagleboard xm (running ubuntu 12.04)? If I can't how can I run matlab on beagleboard xm. I installed octave and it runs perfect but I need to use Matlab.
The short answer is NO. zellus is correct. Matlab requires a SSE2 instruction set. All ARM chip does not support SSE2. Just different architecture. See the disscussion at Mathworks:
http://www.mathworks.co.kr/matlabcentral/newsreader/view_thread/320518
http://www.mathworks.co.uk/support/solutions/en/data/1-B3MR75/
Referring to System Requirements - Release 2012a MATLAB only runs on
Any Intel or AMD x86 processor supporting SSE2 instruction set**
As stated on BeagleBoard-xM Product Details
BeagleBoard-xM delivers extra ARM ® Cortex TM-A8
is equipped with an ARM processor. Therefore I expect MATLAB not to run.
With the proper toolbox, you could generate code than run on ARM processors like the BeagleBoard
As already pointed out you probably don't want to (or can) install Matlab on the beagleboard but have Matlab generate C-code that will run on the board. For this you will need either Matlab Coder or Matlab Embedded Coder. The embedded toolbox produces "better/cleaner" code but is pricier than its non-embedded alternative. Please also note that if you need to do the same with Matlab simulink models you need even more toolboxes.