python-control
diff --git a/‎control/iosys.py
Lines changed: 1 addition & 12 deletions b/‎control/iosys.py
Lines changed: 1 addition & 12 deletions
diff --git a/‎control/tests/iosys_test.py
Lines changed: 22 additions & 9 deletions b/‎control/tests/iosys_test.py
Lines changed: 22 additions & 9 deletions
@@ -1762,19 +1762,8 @@ def input_output_response(
             warn("initial state too short; padding with zeros")
         X0 = np.hstack([X0, np.zeros(sys.nstates - X0.size)])
 
-    # Check to make sure this is not a static function
+    # Compute the number of states
     nstates = _find_size(sys.nstates, X0)
-    if nstates == 0:
-        # No states => map input to output
-        u = U[0] if len(U.shape) == 1 else U[:, 0]
-        y = np.zeros((np.shape(sys._out(T[0], X0, u))[0], len(T)))
-        for i in range(len(T)):
-            u = U[i] if len(U.shape) == 1 else U[:, i]
-            y[:, i] = sys._out(T[i], [], u)
-        return TimeResponseData(
-            T, y, None, U, issiso=sys.issiso(),
-            output_labels=sys.output_index, input_labels=sys.input_index,
-            transpose=transpose, return_x=return_x, squeeze=squeeze)
 
     # create X0 if not given, test if X0 has correct shape
     X0 = _check_convert_array(X0, [(nstates,), (nstates, 1)],
 
@@ -1763,27 +1763,40 @@ def test_input_output_broadcasting():
         resp_bad = ct.input_output_response(
             sys, T, (U[0, :], U[:2, :-1]), [X0, P0])
 
-
-def test_nonuniform_timepts():
+@pytest.mark.parametrize("nstates, ninputs, noutputs", [
+    [2, 1, 1],
+    [4, 2, 3],
+    [0, 1, 1],                  # static function
+    [0, 3, 2],                  # static function
+])
+def test_nonuniform_timepts(nstates, noutputs, ninputs):
     """Test non-uniform time points for simulations"""
-    sys = ct.LinearIOSystem(ct.rss(2, 1, 1))
+    if nstates:
+        sys = ct.rss(nstates, noutputs, ninputs)
+    else:
+        sys = ct.ss(
+            [], np.zeros((0, ninputs)), np.zeros((noutputs, 0)),
+            np.random.rand(noutputs, ninputs))
 
     # Start with a uniform set of times
     unifpts = [0, 1, 2, 3, 4,  5,  6,  7,  8,  9, 10]
-    uniform = [1, 2, 3, 2, 1, -1, -3, -5, -7, -3,  1]
-    t_unif, y_unif = ct.input_output_response(sys, unifpts, uniform)
+    uniform = np.outer(
+        np.ones(ninputs), [1, 2, 3, 2, 1, -1, -3, -5, -7, -3,  1])
+    t_unif, y_unif = ct.input_output_response(
+        sys, unifpts, uniform, squeeze=False)
 
     # Create a non-uniform set of inputs
     noufpts = [0, 2, 4,  8, 10]
-    nonunif = [1, 3, 1, -7,  1]
-    t_nouf, y_nouf = ct.input_output_response(sys, noufpts, nonunif)
+    nonunif = np.outer(np.ones(ninputs), [1, 3, 1, -7,  1])
+    t_nouf, y_nouf = ct.input_output_response(
+        sys, noufpts, nonunif, squeeze=False)
 
     # Make sure the outputs agree at common times
-    np.testing.assert_almost_equal(y_unif[noufpts], y_nouf, decimal=6)
+    np.testing.assert_almost_equal(y_unif[:, noufpts], y_nouf, decimal=6)
 
     # Resimulate using a new set of evaluation points
     t_even, y_even = ct.input_output_response(
-        sys, noufpts, nonunif, t_eval=unifpts)
+        sys, noufpts, nonunif, t_eval=unifpts, squeeze=False)
     np.testing.assert_almost_equal(y_unif, y_even, decimal=6)