Table Data Tuning
Tune matrix or multi-dimensional table values
你可以估计矩阵或多维表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 theParameter Estimator.
- Estimate Constrained Values of a Lookup Table
This example shows how to estimate constrained values of a lookup table in theParameter Estimator.
- 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.
- Design Optimization Using Lookup Table Requirements for Gain Scheduling (GUI)
Impose design requirements on the parameters in a lookup table in the Response Optimizer, and tune the parameters.