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discard zero imaginary part for sys.dcgain()#579
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coveralls commentedMar 19, 2021 • edited
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@@ -448,7 +448,7 @@ def test_dcgain_consistency(): | |||
np.testing.assert_equal( | |||
sys_tf(0j, warn_infinite=False), complex(np.nan, np.nan)) | |||
np.testing.assert_equal( | |||
sys_tf.dcgain(warn_infinite=False),complex(np.nan, np.nan)) | |||
sys_tf.dcgain(warn_infinite=False), np.nan) | |||
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Consider adding a test to show that dcgain() on a system with negative gain at zero frequency returns a negative number.
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Already exists:
python-control/control/tests/freqresp_test.py
Lines 505 to 507 in8c9e807
# Make sure that we get the *signed* DC gain | |
sys_tf=-1/ (s+1) | |
np.testing.assert_almost_equal(sys_tf.dcgain(),-1) |
@@ -1070,12 +1070,19 @@ def dcgain(self, warn_infinite=False): | |||
Returns | |||
------- | |||
gain : ndarray | |||
The zero-frequency gain | |||
gain : (outputs, inputs) ndarray or scalar |
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gain : (noutputs, ninputs) ndarray or scalar
zero-frequency (or DC) gain, or, if the frequency response is | ||
singular, the array will be filled with (inf + nanj). | ||
gain : (outputs, inputs) ndarray or scalar |
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gain : (noutputs, ninputs) ndarray or scalar
Closes#578