8000 Add ab04md by KybernetikJo · Pull Request #201 · python-control/Slycot · GitHub
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Merged
merged 8 commits into from
Aug 24, 2023
Merged

Add ab04md #201

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3598ac9
Add ab04md wrapper
KybernetikJo Jul 20, 2023
52cc0f8
Unittest added for ab04md.
KybernetikJo Jul 29, 2023
416b352
Add docstring, Change parameter name from type_bn to type_t
KybernetikJo Jul 29, 2023
6643167
Update slycot/analysis.py
KybernetikJo Aug 7, 2023
fe5c56a
Update docstring (remove input mark from int types)
KybernetikJo Aug 7, 2023
8ad0236
Improve docstring
KybernetikJo Aug 7, 2023
2289d93
Update docstring, minor fixes
KybernetikJo Aug 23, 2023
118bf58
cleanup test file
bnavigator Aug 24, 2023
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Update docstring, minor fixes
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@KybernetikJo
KybernetikJo committed Aug 23, 2023
commit 2289d93bbf8eb579327da9e6087d7753b7888932
20 changes: 11 additions & 9 deletions slycot/analysis.py
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Original file line number Diff line number Diff line change
Expand Up @@ -140,7 +140,7 @@ def ab01nd(n, m, A, B, jobz='N', tol=0, ldwork=None):
return Ac, Bc, ncont, indcon, nblk, Z, tau

def ab04md(type_t, n, m, p, A, B, C, D, alpha=1.0, beta=1.0, ldwork=None):
""" At,Bt,Ct,Dt = ab04md(type_bn, n, m, p, A, B, C, D, [alpha, beta,ldwork])
""" At,Bt,Ct,Dt = ab04md(type_t, n, m, p, A, B, C, D, [alpha, beta,ldwork])

Parameters
----------
Expand All @@ -159,27 +159,29 @@ def ab04md(type_t, n, m, p, A, B, C, D, alpha=1.0, beta=1.0, ldwork=None):
p : int
The number of rows of matrix C. It represents the dimension of
the output vector. p > 0.
A : (n,n) ndarray
A : (n,n) array_like
The leading n-by-n part of this array must contain the system state
matrix A.
B : (n,m) ndarray
B : (n,m) array_like
The leading n-by-m part of this array must contain the system input
matrix B.
C : (p,n) ndarray
C : (p,n) array_like
The leading p-by-n part of this array must contain the system output
matrix C.
D : (p,m) ndarray
D : (p,m) array_like
The leading p-by-m part of this array must contain the system direct
transmission matrix D.
alpha : double
alpha : double, optional
Parameter specifying the bilinear transformation.
Recommended values for stable systems: alpha = 1, alpha != 0,
beta : double
Default is 1.0.
beta : double, optional
Parameter specifying the bilinear transformation.
Recommended values for stable systems: beta = 1, beta != 0,
ldwork : int
Default is 1.0.
ldwork : int, optional
The length of the cache array.
ldwork >= max(1, n)
ldwork >= max(1, n), default is max(1, n)
Returns
-------
At : (n,n) ndarray
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