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Class that represents architecture in analysis instance


    The ArchitectureInstance class represents an instance of an architecture.


    Create an instance of an architecture.

    instance = instantiate(model.Architecture,'LatencyProfile','NewInstance', ...
    'Function',@calculateLatency,'Arguments','3','Strict',true, ...


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    Name of instance, specified as a character vector.

    Example: 'NewInstance'

    Data Types: char

    Child components of instance, specified as an array of systemcomposer.analysis.ComponentInstance objects.

    Ports of architecture instance, specified as an array of systemcomposer.analysis.PortInstance objects.

    Connectors in architecture instance, specified as an array of systemcomposer.analysis.ConnectorInstance objects, connecting child components.

    Reference element in design model, specified as a systemcomposer.arch.Architecture object.

    Whether units normalize the value of properties in the instantiation, specified as a logical 1 (true) or 0 (false).

    Data Types: logical

    Whether instances only get properties if the instance's specification has the stereotype applied, specified as a logical 1 (true) or 0 (false).

    Data Types: logical

    Analysis function, specified as the MATLAB function handle to be executed when analysis is run.

    Example: @calculateLatency

    Analysis direction, specified as an enumeration.

    Example: 'TopDown'

    Example: 'PreOrder'

    Example: 'PostOrder'

    Example: 'BottomUp'

    Data Types: enum

    Analysis arguments, specified as a character vector of optional arguments to the analysis function.

    Example: '3'

    Data Types: char

    Whether analysis viewer is updated automatically when the design model changes, specified as a logical 1 (true) or 0 (false).

    Data Types: logical

    Object Functions

    getValueGet value of property from element instance
    setValueSet value of property for element instance
    hasValueFind if element instance has property value
    iterateIterate over model elements
    lookupSearch for architecture element
    saveSave architecture instance
    updateUpdate architecture model
    refreshRefresh architecture instance
    isArchitectureFind if instance is architecture instance
    isComponentFind if instance is component instance
    isConnectorFind if instance is connector instance
    isPortFind if instance is port instance


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    This example shows an instantiation for analysis for a system with latency in its wiring. The materials used are copper, fiber, and WiFi.

    Create a Latency Profile with Stereotypes and Properties

    Create a System Composer profile with a base, connector, component, and port stereotype. Add properties with default values to each stereotype as needed for analysis.

    profile = systemcomposer.profile.Profile.createProfile('LatencyProfile');
    % Add base stereotype with properties
    latencybase = profile.addStereotype('LatencyBase');
    % Add connector stereotype with properties
    connLatency = profile.addStereotype('ConnectorLatency','Parent',...
    % Add component stereotype with properties
    nodeLatency = profile.addStereotype('NodeLatency','Parent',...
    % Add port stereotype with properties
    portLatency = profile.addStereotype('PortLatency','Parent',...

    Instantiate Using Analysis Function

    Create a new model and apply the profile. Create components, ports, and connections in the model. Apply stereotypes to the model elements. Finally, instantiate using the analysis function.

    model = systemcomposer.createModel('archModel',true); % Create new model
    arch = model.Architecture;
    model.applyProfile('LatencyProfile'); % Apply profile to model
    % Create components, ports, and connections
    components = addComponent(arch,{'Sensor','Planning','Motion'});
    sensorPorts = addPort(components(1).Architecture,{'MotionData','SensorData'},{'in','out'});
    planningPorts = addPort(components(2).Architecture,{'SensorData','MotionCommand'},{'in','out'});
    motionPorts = addPort(components(3).Architecture,{'MotionCommand','MotionData'},{'in','out'});
    c_sensorData = connect(arch,components(1),components(2));
    c_motionData = connect(arch,components(3),components(1));
    c_motionCommand = connect(arch,components(2),components(3));
    % Clean up canvas
    % Batch apply stereotypes to model elements
    % Instantiate using the analysis function
    instance = instantiate(model.Architecture,'LatencyProfile','NewInstance', ...
    'Function',@calculateLatency,'Arguments','3','Strict',true, ...
    instance = 
      ArchitectureInstance with properties:
            Specification: [1x1 systemcomposer.arch.Architecture]
                 IsStrict: 1
           NormalizeUnits: 0
         AnalysisFunction: @calculateLatency
        AnalysisDirection: PreOrder
        AnalysisArguments: '3'
          ImmediateUpdate: 0
               Components: [1x3 systemcomposer.analysis.ComponentInstance]
                    Ports: [0x0 systemcomposer.analysis.PortInstance]
               Connectors: [1x3 systemcomposer.analysis.ConnectorInstance]
                     Name: 'NewInstance'

    Inspect Component, Port, and Connector Instances

    Get properties from component, port, and connector instances.

    defaultResources = instance.Components(1).getValue('LatencyProfile.NodeLatency.resources')
    defaultResources = 1
    defaultSecure = instance.Connectors(1).getValue('')
    defaultSecure = logical
    defaultQueueDepth = instance.Components(1).Ports(1).getValue('LatencyProfile.PortLatency.queueDepth')
    defaultQueueDepth = 4.2900

    Clean Up

    Uncomment the following code and run to clean up the artifacts created by this example:

    % bdclose('archModel')
    % systemcomposer.profile.Profile.closeAll


    This example shows how to model a typical automotive electrical system as an architectural model and run primitive analysis. The elements in the model can be broadly grouped as either source or load. Various properties of the sources and loads are set as part of the stereotype. The example uses the iterate method of the specification API to iterate through each element of the model and run analysis using the stereotype properties.

    Structure of the Model

    The generator charges the battery while the engine is running. The battery, along with the generator supports the electrical loads in the vehicle, like ECU, radio, and body control. The inductive loads like motors and other coils have the InRushCurrent stereotype property defined. Based on the properties set on each component, the following analyses are performed:

    • Total KeyOffLoad.

    • Number of days required for KeyOffLoad to discharge 30% of the battery.

    • Total CrankingInRush current.

    • Total Cranking current.

    • Ability of the battery to start the vehicle at 0°F based on the battery cold cranking amps (CCA). The discharge time is computed based on Puekert coefficient (k), which describes the relationship between the rate of discharge and the available capacity of the battery.

    Load the Model and Run the Analysis

    archModel = systemcomposer.openModel('scExampleAutomotiveElectricalSystemAnalysis');
    % Instantiate battery sizing class used by the analysis function to store
    % analysis results.
    objcomputeBatterySizing = computeBatterySizing;
    % Run the analysis using the iterator.
    % Display analysis results.
    Total KeyOffLoad: 158.708 mA
    Number of days required for KeyOffLoad to discharge 30% of battery: 55.789.
    Total CrankingInRush current: 70 A
    Total Cranking current: 104 A
    CCA of the specifed battery is sufficient to start the car at 0 F.

    Close the Model


    More About

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    Introduced in R2019a