Documentation

Table Data Tuning

Tune matrix or multi-dimensional table values

You can estimate matrix or multi-dimensional table values from measured data. You can also specify design requirements at the command line, and optimize the table values.

Functions

sdo.requirements.FunctionMatching Impose function matching constraint on variable
sdo.requirements.MonotonicVariable Impose monotonic constraint on variable
sdo.requirements.PhasePlaneEllipse Impose elliptic bound on phase plane trajectory of two signals
sdo.requirements.PhasePlaneRegion Impose region bound on phase plane trajectory of two signals
sdo.requirements.RelationalConstraint Impose relational constraint on pair of variables
sdo.requirements.SmoothnessConstraint Impose bounds on gradient magnitude of variable

Topics

How to Estimate Lookup Table Values

Estimating lookup table values is an example of estimating parameters which are matrices or multi-dimensional arrays.

Estimate Lookup Table Values from Data

This example shows how to estimate lookup table values from time-domain input-output (I/O) data in the Parameter Estimation tool.

Estimate Constrained Values of a Lookup Table

This example shows how to estimate constrained values of a lookup table in the Parameter Estimation tool.

Design Optimization Using Lookup Table Requirements for Gain Scheduling (Code)

Impose design requirements on the parameters in a lookup table and then tune the parameters.

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