mpcqpsolverOptions

Create default option set for mpcqpsolver

Description

example

options = mpcqpsolverOptions creates a structure of default options for mpcqpsolver, which solves a quadratic programming (QP) problem using the KWIK algorithm.

example

options = mpcqpsolverOptions(type) creates a default option set using the specified input data type. All real options are specified using this data type.

Examples

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opt = mpcqpsolverOptions;

Create default option set.

opt = mpcqpsolverOptions;

Specify the maximum number of iterations allowed during computation.

opt.MaxIter = 100;

Specify a feasibility tolerance for verifying that the optimal solution satisfies the inequality constraints.

opt.FeasibilityTol = 1.0e-3;
opt = mpcqpsolverOptions('single');

Input Arguments

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MPC QP solver input argument data type, specified as either 'double' or 'single'. This data type is used for both simulation and code generation. All real options in the option set are specified using this data type, and all real input arguments to mpcqpsolver must match this type.

Output Arguments

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Option set for mpcqpsolver, returned as a structure with the following fields:

FieldDescriptionDefault
DataTypeInput argument data type, specified as either 'double' or 'single'. This data type is used for both simulation and code generation, and all real input arguments to mpcqpsolver must match this type.'double'
MaxIterMaximum number of iterations allowed when computing the QP solution, specified as a positive integer.200
FeasibilityTolTolerance used to verify that inequality constraints are satisfied by the optimal solution, specified as a positive scalar. A larger FeasibilityTol value allows for larger constraint violations.1.0e-6
IntegrityChecksIndicator of whether integrity checks are performed on the mpcqpsolver input data, specified as a logical value. If IntegrityChecks is true, then integrity checks are performed and diagnostic messages are displayed. Use false for code generation only.true

See Also

Introduced in R2015b