Query object for finding blocks that have custom block linearizations specified
linqueryIsBlockSubstituted creates a custom query object for
finding all the blocks in a linearization result that have custom block linearizations
When you linearize a Simulink® model, you can create a
LinearizationAdvisor object that contains diagnostic information about individual block linearizations. To find block linearizations that satisfy specific criteria, you can use the
find function with custom query objects. Alternatively, you can analyze linearization diagnostics using the Linearization Advisor in the Linear Analysis Tool. For more information on finding specific blocks in linearization results, see Find Blocks in Linearization Results Matching Specific Criteria.
creates a query object for finding all the blocks in a
query = linqueryIsBlockSubstituted
LinearizationAdvisor object that have custom block
QueryType— Query type
'Block Substituted'(default) | character vector
Query type, specified as
Description— Query description
'Blocks Linearized with Block Substitution'(default) | character vector
Query description, specified as
'Blocks Linearized with Block
Substitution'. You can add your own description to the query
object using this property.
After creating a
linqueryIsBlockSubstituted query object, you
|Find blocks in linearization results that match specific criteria|
Load the Simulink model.
mdl = 'scdpwmCustom'; load_system(mdl)
Linearize the model and obtain the
opts = linearizeOptions('StoreAdvisor',true); [sys,op,info] = linearize(mdl,getlinio(mdl),opts); advisor = info.Advisor;
Create query object, and find all blocks with substitute linearizations.
qSub = linqueryIsBlockSubstituted; advSub = find(advisor,qSub)
advSub = LinearizationAdvisor with properties: Model: 'scdpwmCustom' OperatingPoint: [1x1 opcond.OperatingPoint] BlockDiagnostics: [1x1 linearize.advisor.BlockDiagnostic] QueryType: 'Block Substituted'
You can also create custom queries for finding specific blocks in linearization results using the Linearization Advisor in the Linear Analysis Tool. For more information, see Find Blocks in Linearization Results Matching Specific Criteria.