Matlab C Caller

[Jules Altier]

Simulink functions have an interface with input and output arguments similar toprogramming languages. Simulink function callers send data through input arguments to Simulink functions, execute the function, and then receive data back from the functionthrough output arguments. You can call a Simulink function using:

The following sections show how to call a Simulink function. The function y = timestwo(x) multiplies a value(x) from a caller by 2, and then sends the calculatedvalue (y) back to the caller. To create the functions, see Add a Simulink Function to a Model.

To visually display the connections between the Simulink functions and their callers with lines, on the Debug tab, under Information Overlays, the Function Connectors button is selected.

The argument names for the function you define in the MATLABFunction block do not have to match the argument names for the function thatyou define with a Simulink Function block. For a FunctionCaller block that calls a Simulink Function block, argumentnames must match.

For the Sine Wave block, set the Sample timeto 0.01. For the model, open the Configuration Parameters dialogbox to the solver pane. Set Type toFixed-step and Fixed-step size to0.01.

The argument names for the function you define in the Stateflow chart do not have to match the argument names for the function that youdefine with a Simulink Function block. For a FunctionCaller block that calls a Simulink Function block, argumentnames must match.

If you call a Simulink Function block from multiple sites, all call sitesshare the state of the function. For example, suppose that you have a Stateflow chart with two calls and two Function Caller blockswith calls to the same function.

The Unit Delay block has state because the block value is persistentbetween calls from the two Function Caller blocks and the Stateflow chart. Conceptually, you can think of this function being implemented inMATLAB code:

In this example, the output observed in Scope1 increments by4 at each time step. Scope2,Scope3, and Scope4 show a similar behavior. The onlydifference is a shift in the observed signal due to the execution sequence of the functioncalls.

The reason is that my_script.m is not a valid Matlab statement. In order to run a script / function you need to execute it using its name, i.e. my_script. You can see that if you try running my_script.m and my_script statements right from Matlab command window.

The second error you mention (when using run command) seems to be the actual error in your script. It seems like you forgot to copy-paste the very top line which should show the line number where the error occurs. What you see below, i.e. Error in run (line 96) and evalin('caller', [script ';']) is just a second entry in the stack trace. It does confirm the the error occurs while evaluating your script using evalin.

If val requires evaluation, MATLAB evaluates it in the function that calls assignin, not in the workspace specified by ws. If val is a function handle, it must be evaluable in the function that calls assignin.

From within a function, changing the value of a variable that is defined in the workspace of the caller function. For example, you can change the value of a variable in the calling-function argument list.

When assigning an anonymous function to a caller workspace, MATLAB puts the definition of the function handle in a variable in the caller workspace. The function with the call to assignin evaluates the function handle. While this example describes how to assign a variable into the caller workspace, the best practice is to have the local function assignfh return the function handle as an output argument.

To assign values in the MATLAB base workspace, use 'base'. The base workspace stores variables that you create at the MATLAB command prompt, including any variables that scripts create, assuming that you run the script from the command line or from the Editor.

To assign variables in the workspace of the caller function, use 'caller'. The caller workspace is the workspace of the function that called the currently running function. For example, assume that funA calls funB. The caller workspace of funB is funA. Therefore, from funB, you can assign a value to a variable in funA using assignin and specifying the workspace as 'caller'.

Assigning to variables in the caller workspace can make code more difficult to understand, give surprising results to the user (unexpected or redefined variables in their workspace), and have a negative performance impact. The best practice is to have the function return the variables as output arguments.

If the value of the variable requires evaluation, MATLAB evaluates the expression in the function that contains the call to assignin, not in the workspace specified by ws. If val is a function handle, it must be evaluable in the function that calls assignin.

[a1,a2,a3,...] = evalin(ws,expression) executes expression and returns the results in the specified output variables. Using the evalin output argument list is recommended over including the output arguments in the expression string:

evalin(ws,expression,catch_expr) executes expression and, if an error is detected, executes the catch_expr string. If expression produces an error, the error string can be obtained with the lasterr function. This syntax is useful when expression is a string that must be constructed from substrings. If this is not the case, use the try...catch control flow statement in your code.

Remarks

The MATLAB base workspace is the workspace that is seen from the MATLAB command line (when not in the debugger). The caller workspace is the workspace of the function that called the M-file. Note, the base and caller workspaces are equivalent in the context of an M-file that is invoked from the MATLAB command line.

Remarks

The MATLAB base workspace is the workspace that is seen from the MATLAB command line (when not in the debugger). The caller workspace is the workspace of the function that called the M-file. Note the base and caller workspaces are equivalent in the context of an M-file that is invoked from the MATLAB command line.

Examples

This example creates a dialog box for the image display function, prompting a user for an image name and a colormap name. The assignin function is used to export the user-entered values to the MATLAB workspace variables imfile and cmap.

The AUTOSAR standard defines Basic Software (BSW) services that run in the AUTOSAR run-time environment. The services include NVRAM Manager (NvM) Diagnostic Event Manager (Dem), and Function Inhibition Manager (FiM) services. In the AUTOSAR run-time environment, AUTOSAR software components typically access BSW services using client-server or sender-receiver communication.

In your AUTOSAR software component model, to implement client calls to NvM, Dem, and FiM service interfaces, you drag and drop preconfigured NvM, Dem, and FiM caller blocks. Each block has prepopulated parameters, such as Client port name and Operation. You configure the block parameters, for example, to select a service operation to call. To configure the added caller blocks in the AUTOSAR software component, you synchronize the model. The software creates AUTOSAR client-service interfaces, operations, and ports, and maps each Simulink function call to an AUTOSAR client port and operation. For more information, see Configure Calls to AUTOSAR NVRAM Manager Service, Configure Calls to AUTOSAR Diagnostic Event Manager Service, and Configure Calls to AUTOSAR Function Inhibition Manager Service.

Here is a throttle position integration model, which integrates two throttle position sensor components and a throttle position monitor component. The sensor components take a raw throttle position sensor (TPS) value and convert it to a TPS percent value. The monitor component takes the TPS percent values provided by the primary and secondary sensor components and decides which TPS signal to pass through. The sensor components call BSW NvM and Dem services, and the monitor component calls BSW Dem services.

Sensor components autosar_bsw_sensor1 and autosar_bsw_sensor2 each contain an Initialize Function block, which calls the NvM service interface NvMService. The calls are implemented using the Basic Software library block NvMServiceCaller. Each block is configured to call the NvMService operation ReadBlock. The ReadBlock calls use client ports S1LowSetPoint and S2LowSetPoint. Here is the Initialize Function block for autosar_bsw_sensor1.

Sensor components autosar_bsw_sensor1 and autosar_bsw_sensor2 each contain two calls to the Dem service interface DiagnosticMonitor. Both calls are implemented using the Basic Software library block DiagnosticMonitorCaller. Each block is configured to call the DiagnosticMonitor operation SetEventStatus. The SetEventStatus calls use client ports S1StuckLow, S1StuckHigh, S2StuckLow, and S2StuckHigh.

The four DiagnosticInfo calls are implemented using the Basic Software library block DiagnosticInfoCaller. Each block is configured to call the DiagnosticInfo operation GetEventFailed. The GetEventFailed calls use client ports TPS1StuckLow, TPS1StuckHigh, TPS2StuckLow, and TPS2StuckHigh.

If you have Simulink Coder and Embedded Coder software, you can generate C code and export ARXML descriptions for the NvM and Dem service calls. Open and build each component model. For example, to build model autosar_bsw_monitor, open the model. Press Ctrl+B or enter the MATLAB command slbuild('autosar_bsw_monitor').

To simulate an AUTOSAR component model that calls BSW services, create a containing composition, system, or harness model. In that containing model, provide reference implementations of the NvM, Dem, and FiM service operations called by the component.

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