One of the most common causes is misspelling the function or variable name. Especially with longer names or names containing similar characters (such as the letter l and numeral one), it is easy to make mistakes and hard to detect them.
Often, when you misspell a MATLAB function, a suggested function name appears in the Command Window. For example, this command fails because it includes an uppercase letter in the function name:
Undefined function or variable 'accumArray'. Did you mean:accumarray
When this happens, press Enter to execute the suggested command or Esc to dismiss it.
Verify Inputs Correspond to the Function Syntax
Object methods are typically called using function syntax: for instance`method(object,inputs). Alternatively, they can be called using dot notation: for instance `object.method(inputs). One common error is to mix these syntaxes. For instance, you might call the method using function syntax, but to provide inputs following dot notation syntax and leave out the object as an input: for instance,method(inputs). To avoid this, when calling an object method, make sure you specify the object first, either through the first input of function syntax or through the first identifier of dot notation.
Make Sure Function Name Matches File Name
When you write a function, you establish its name when you write its function definition line. This name should always match the name of the file you save it to. For example, if you create a function named curveplot,
function curveplot(xVal, yVal) _- program code -_ then you should name the file containing that function`curveplot.m`. If you create a
function curveplot(xVal, yVal) _- program code -_ 0 file for the function, then name that file
function curveplot(xVal, yVal) _- program code -_ 1. In the case of conflicting function and file names, the file name overrides the name given to the function. In this example, if you save the curveplot function to a file named
function curveplot(xVal, yVal) _- program code -_ 3, then attempts to invoke the function using the function name will fail:
curveplot Undefined function or variable 'curveplot'.
If you encounter this problem, change either the function name or file name so that they are the same.
To Locate the file that defines this function, use the MATLAB Find Files utility as follows:
- On the Home tab, in the File section, clickFind Files.
- Under , enter function curveplot(xVal, yVal) - program code - 4
- Under , enter the function name.
- Click the Find button
Make Sure Necessary Toolbox Is Installed and Correct Version
If you are unable to use a built-in function from a MATLAB toolbox and have confirmed that the toolbox is installed, make sure that you have an active license for that toolbox. Use
function curveplot(xVal, yVal) _- program code -_ 6 to display currently active licenses. For additional support for managing licenses, see Manage Your Licenses.
[time, state, output]=sim ('ballistic_flight_3',15); within an m-file In this m-file the input for the simulation were given in nromal way:
nameVar=valueVar
now in a next step I had to change this m-file to a function, the function is normally identical to the m-file, all teh same variables are used and assigned the same values within the function
function [FlightDistMat,FlightDistSim]=CompareBallisticFu(LaunchAngleDeg,HorLaunchSpeedMps,DiamM, UseSimulink)
For ..... Cr=0.44; HorStartPos=0; HorVertPos=1; .... [time, state, output]=sim ('ballistic_flight_3',15); ...
end
Now I get error on the line were I call: [time, state, output]=sim ('ballistic_flight_3',15);
Error evaluating parameter 'Value' in 'ballistic_flight_3/Cr': Error using ==> sim Undefined function or variable 'Cr'.
The strange this is : if I run the m-file first and then I try calling the function again, it works,
So I found that if I load the vars in the workspace first it worksn while those same vars are defined in the function???
Looking for solutions on the internet I looked at 'Initialising Simulink Model Parameter Variables using Callbacks' but I was not able to solve my problem also tried setting the model workspace via the model explorer but I think that is the wrong way because some of the values are changed in my function for each time that I call the simulation
simulink input var... , matlab
Expert Answer
Ok, I think I got the problem.
By default the source workspace for simulink model is base workspace. So when you simulate the model, it resolves the parameters from base workspace.
As your parameters are in function workspace your model is not taking these parameters.
So you can resolve it in two ways...
1. Exports the parameters from the function to base workspase using assignin() or evalin() commands before simulating the model.
2. Change the source workspace of your model to current (function) workspace using simset() command.
Not satisfied with the answer ?? ASK NOW
Frequently Asked Questions
MATLAB offers tools for real-time AI applications, including Simulink for modeling and simulation. It can be used for developing algorithms and control systems for autonomous vehicles, robots, and other real-time AI systems.
MATLAB Online™ provides access to MATLAB® from your web browser. With MATLAB Online, your files are stored on MATLAB Drive™ and are available wherever you go. MATLAB Drive Connector synchronizes your files between your computers and MATLAB Online, providing offline access and eliminating the need to manually upload or download files. You can also run your files from the convenience of your smartphone or tablet by connecting to MathWorks® Cloud through the MATLAB Mobile™ app.
Yes, MATLAB provides tools and frameworks for deep learning, including the Deep Learning Toolbox. You can use MATLAB for tasks like building and training neural networks, image classification, and natural language processing.
MATLAB and Python are both popular choices for AI development. MATLAB is known for its ease of use in mathematical computations and its extensive toolbox for AI and machine learning. Python, on the other hand, has a vast ecosystem of libraries like TensorFlow and PyTorch. The choice depends on your preferences and project requirements.
You can find support, discussion forums, and a community of MATLAB users on the MATLAB website, Matlansolutions forums, and other AI-related online communities. Remember that MATLAB's capabilities in AI and machine learning continue to evolve, so staying updated with the latest features and resources is essential for effective AI development using MATLAB.
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