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This PR addresses #1075 and also fixes a small bug with constant FRD systems with small numbers of frequency points.

Changes:

• Multiplying (*), adding (+), or subtracting (-) a constant from any (MIMO) LTI object now acts element-wise (same as ndarray's). This fixes a bug where multiplying a MIMO LTI system by a constant was multiplying by a matrix filled with the constant rather than a diagonal matrix (scaled identity).
• Specifying an FRD system with fewer than 4 frequency points was generating an error because the default settings try to set up a smooth (interpolating) response and the default degree of the fit was 3. The SciPy interpolation function requires k+1 data points for a degree k fit, so an exception was generated.
• Added unit tests that catch the bug in Multiplying a MIMO TransferFunction by 1.0 multiplies by a matrix of ones, not identity #1075 but also check across all LTI system representations (frd, ss, tf).

Multiplying a MIMO TransferFunction by 1.0 multiplies by a matrix of ones, not identity #1075

Proposal for multiplying a NumPy array by a scalar TransferFunction #1076

coverage: 94.73% (+0.009%) from 94.721%
when pulling 3165881 on murrayrm:fix_scalar_tfops-06Dec2024
into 12dda4e on python-control:main.

slivingston reviewed Dec 10, 2024

View reviewed changes

slivingston reviewed Dec 10, 2024

View reviewed changes

slivingston reviewed Dec 10, 2024

View reviewed changes

fix misprint

0b9be7a

fix misprint

f514f7c

fix misprint

3165881