Defining Parameter Bounds (Control Design and Simulation Module)

LabVIEW 2018 Control Design and Simulation Module Help

Edition Date: March 2018

Part Number: 371894J-01

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Parameter bounds are constraints on parameter values being optimized. For example, while searching for the best value of a spring constant, you might know that springs are available only with certain physical properties. In this case, you can specify that the parameter k must stay within minimum and maximum values. Parameter bounds are important because these bounds define the parameter space in which the Sequential Quadratic Programming (SQP) algorithm searches for optimal values.

Use the Parameter Bounds parameter of the SIM Optimal Design VI to specify minimum and maximum values for each parameter.


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