GeezerVison

pick 7ace4bc New function for LTI system norm computation
pick 5103448 * Updated documentation of function norm * Added control/tests/sysnorm_test.py
pick 4fb252e Update sysnorm.py
pick 108817c Do not track changes in VS Code setup.
pick 6683eb3 Lowered tolerances in tests.
pick 32d38bf Added: * Use of warnings package. * Use routine statesp.linfnorm when slycot installed. * New routine internal _h2norm_slycot when slycot is installed.
pick 793f0d6 Added: * type check when calling ct.norm * metod argument in ct.norm (slycot or scipy)
pick fe22e33 Use function _slycot_or_scipy from ct.mateqn

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ben@skylab:~/src/python-control> git status
On branch system-norms
Your branch is up to date with 'henriks76/system-norms'.

nothing to commit, working tree clean
ben@skylab:~/src/python-control> git diff system-norms2

diff --git a/control/tests/sysnorm_test.py b/control/tests/sysnorm_test.py
index 917e98d..74e8de0 100644
--- a/control/tests/sysnorm_test.py
+++ b/control/tests/sysnorm_test.py
@@ -13,35 +13,35 @@ def test_norm_1st_order_stable_system():
     """First-order stable continuous-time system"""
     s = ct.tf('s')
     G1 = 1/(s+1)
-    assert np.allclose(ct.norm(G1, p='inf', tol=1e-9), 1.0) # Comparison to norm computed in MATLAB
-    assert np.allclose(ct.norm(G1, p=2), 0.707106781186547) # Comparison to norm computed in MATLAB
+    assert np.allclose(ct.norm(G1, p='inf', tol=1e-9, print_warning=False), 1.0) # Comparison to norm computed in MATLAB
+    assert np.allclose(ct.norm(G1, p=2, print_warning=False), 0.707106781186547) # Comparison to norm computed in MATLAB
     
     Gd1 = ct.sample_system(G1, 0.1)
-    assert np.allclose(ct.norm(Gd1, p='inf', tol=1e-9), 1.0) # Comparison to norm computed in MATLAB
-    assert np.allclose(ct.norm(Gd1, p=2), 0.223513699524858) # Comparison to norm computed in MATLAB
+    assert np.allclose(ct.norm(Gd1, p='inf', tol=1e-9, print_warning=False), 1.0) # Comparison to norm computed in MATLAB
+    assert np.allclose(ct.norm(Gd1, p=2, print_warning=False), 0.223513699524858) # Comparison to norm computed in MATLAB
 
 
 def test_norm_1st_order_unstable_system():
     """First-order unstable continuous-time system"""
     s = ct.tf('s')
     G2 = 1/(1-s)
-    assert np.allclose(ct.norm(G2, p='inf', tol=1e-9), 1.0) # Comparison to norm computed in MATLAB
-    assert ct.norm(G2, p=2) == float('inf') # Comparison to norm computed in MATLAB
+    assert np.allclose(ct.norm(G2, p='inf', tol=1e-9, print_warning=False), 1.0) # Comparison to norm computed in MATLAB
+    assert ct.norm(G2, p=2, print_warning=False) == float('inf') # Comparison to norm computed in MATLAB
     
     Gd2 = ct.sample_system(G2, 0.1)
-    assert np.allclose(ct.norm(Gd2, p='inf', tol=1e-9), 1.0) # Comparison to norm computed in MATLAB
-    assert ct.norm(Gd2, p=2) == float('inf') # Comparison to norm computed in MATLAB
+    assert np.allclose(ct.norm(Gd2, p='inf', tol=1e-9, print_warning=False), 1.0) # Comparison to norm computed in MATLAB
+    assert ct.norm(Gd2, p=2, print_warning=False) == float('inf') # Comparison to norm computed in MATLAB
 
 def test_norm_2nd_order_system_imag_poles():
     """Second-order continuous-time system with poles on imaginary axis"""
     s = ct.tf('s')
     G3 = 1/(s**2+1)
-    assert ct.norm(G3, p='inf') == float('inf') # Comparison to norm computed in MATLAB
-    assert ct.norm(G3, p=2) == float('inf') # Comparison to norm computed in MATLAB
+    assert ct.norm(G3, p='inf', print_warning=False) == float('inf') # Comparison to norm computed in MATLAB
+    assert ct.norm(G3, p=2, print_warning=False) == float('inf') # Comparison to norm computed in MATLAB
     
     Gd3 = ct.sample_system(G3, 0.1)
-    assert ct.norm(Gd3, p='inf') == float('inf') # Comparison to norm computed in MATLAB
-    assert ct.norm(Gd3, p=2) == float('inf') # Comparison to norm computed in MATLAB
+    assert ct.norm(Gd3, p='inf', print_warning=False) == float('inf') # Comparison to norm computed in MATLAB
+    assert ct.norm(Gd3, p=2, print_warning=False) == float('inf') # Comparison to norm computed in MATLAB
 
 def test_norm_3rd_order_mimo_system():
     """Third-order stable MIMO continuous-time system"""
@@ -55,9 +55,9 @@ def test_norm_3rd_order_mimo_system():
                   [-0.863652821988714,  -1.214117043615409,  -0.006849328103348]])
     D = np.zeros((2,2))
     G4 = ct.ss(A,B,C,D) # Random system generated in MATLAB
-    assert np.allclose(ct.norm(G4, p='inf', tol=1e-9), 4.276759162964244) # Comparison to norm computed in MATLAB
-    assert np.allclose(ct.norm(G4, p=2), 2.237461821810309) # Comparison to norm computed in MATLAB
+    assert np.allclose(ct.norm(G4, p='inf', tol=1e-9, print_warning=False), 4.276759162964244) # Comparison to norm computed in MATLAB
+    assert np.allclose(ct.norm(G4, p=2, print_warning=False), 2.237461821810309) # Comparison to norm computed in MATLAB
     
     Gd4 = ct.sample_system(G4, 0.1)
-    assert np.allclose(ct.norm(Gd4, p='inf', tol=1e-9), 4.276759162964228) # Comparison to norm computed in MATLAB
-    assert np.allclose(ct.norm(Gd4, p=2), 0.707434962289554) # Comparison to norm computed in MATLAB
+    assert np.allclose(ct.norm(Gd4, p='inf', tol=1e-9, print_warning=False), 4.276759162964228) # Comparison to norm computed in MATLAB
+    assert np.allclose(ct.norm(Gd4, p=2, print_warning=False), 0.707434962289554) # Comparison to norm computed in MATLAB