Method and apparatus for training a system model with gain constraints using a non-linear programming optimizer

A computer-accessible memory medium, wherein the memory medium comprises program instructions executable to:

• implement a model, wherein the model comprises one or more inputs and one or more outputs, wherein the model comprises a representation of a plant or process, wherein the model comprises one or more gains, and wherein each gain comprises a respective partial derivative of an output with respect to a respective input;
• specify one or more user-configurable gain constraints, wherein each of the one or more user-configurable gain constraints corresponds to a respective gain;
• and
• training the model with a non-linear programming optimizer subject to the one or more user-configurable gain constraints.

A system, comprising:

• means for providing a model, wherein the model comprises one or more inputs and one or more outputs, wherein the model comprises a representation of a plant or process, wherein the model comprises one or more gains, and wherein each gain comprises a respective partial derivative of an output with respect to a respective input;
• means for specifying one or more user-configurable gain constraints, wherein each of the one or more user-configurable gain constraints corresponds to a respective gain;
• and
• training the model with a non-linear programming optimizer subject to the one or more user-configurable gain constraints.

A system, comprising:

• a model, representing a plant or process, the model comprising:
• one or more inputs;
• one or more outputs;
• and
• one or more gains, wherein each gain comprises a respective partial derivative of an output with respect to a respective input;
• and
• a non-linear programming optimizer, coupled to the model;
• wherein the model is constrained by one or more user-configurable gain constraints, wherein each of the one or more user-configurable gain constraints corresponds to a respective gain;
• and
• wherein the non-linear programming optimizer is operable to train the model subject to the one or more user-configurable gain constraints.