fix additional broken links (from @slivingston review)

murrayrm · murrayrm · commit d176201230e3 · 2024-08-17T05:34:04.000-07:00
diff --git a/doc/iosys.rst b/doc/iosys.rst
@@ -25,11 +25,11 @@ 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
-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
-outputs from the state)::
+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 outputs from the state)::
 
   io_sys = ct.nlsys(updfcn, outfcn, inputs=M, outputs=P, states=N)
 
@@ -434,8 +434,8 @@ of an individual system are used in a given specification::
     inplist=['sum.r', 'P.v'], outlist=['P', 'C.u']
   )
 
-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
+And finally, since we have named the signals throughout the system in a
+consistent way, we could let :func:`~control.interconnect` do all of the
 work::
 
   clsys5 = ct.interconnect(
diff --git a/doc/plotting.rst b/doc/plotting.rst
@@ -215,8 +215,8 @@ 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
+Another response function that can be used to generate Bode plots is 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")
