GeezerVison

diff --git a/doc/plotting.rst b/doc/plotting.rst
index a4611f1..7d8d442 100644
--- a/doc/plotting.rst
+++ b/doc/plotting.rst
@@ -214,7 +216,7 @@ plot, use `plot_type='nichols'`::
 .. image:: freqplot-siso_nichols-default.png
 
 Another response function that can be used to generate Bode plots is
-the :func:`~control.gangof4` function, which computes the four primary
+the :func:`~control.gangof4_response` function, which computes the four primary
 sensitivity functions for a feedback control system in standard form::
 
   proc = ct.tf([1], [1, 1, 1], name="process")

diff --git a/doc/iosys.rst b/doc/iosys.rst
index eb4311e..ec0a528 100644
--- a/doc/iosys.rst
+++ b/doc/iosys.rst
@@ -25,7 +25,7 @@ a :class:`~control.StateSpace` linear system.  Use the
   ss_sys = ct.linearize(io_sys, xeq, ueq)
 
 Input/output systems are automatically created for state space LTI systems
-when using the :func:`ss` function.  Nonlinear input/output systems can be
+when using the :func:`~control.ss` function.  Nonlinear input/output systems can be
 created using the :func:`~control.nlsys` function, which requires
 the definition of an update function (for the right hand side of the
 differential or different equation) and an output function (computes the
@@ -435,7 +435,7 @@ of an individual system are used in a given specification::
   )
 
 And finally, since we have named the signals throughout the system in
-a consistent way, we could let :func:`ct.interconnect` do all of the
+a consistent way, we could let :func:`~control.interconnect` do all of the
 work::
 
   clsys5 = ct.interconnect(