X-Git-Url: https://git.creatis.insa-lyon.fr/pubgit/?p=CreaPhase.git;a=blobdiff_plain;f=octave_packages%2Fcontrol-2.3.52%2Fsigma.m;fp=octave_packages%2Fcontrol-2.3.52%2Fsigma.m;h=13e238d2fa8e294229dab0bd1ecc53616958248d;hp=0000000000000000000000000000000000000000;hb=f5f7a74bd8a4900f0b797da6783be80e11a68d86;hpb=1705066eceaaea976f010f669ce8e972f3734b05

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+## Copyright (C) 2009, 2010, 2011, 2012   Lukas F. Reichlin
+##
+## This file is part of LTI Syncope.
+##
+## LTI Syncope is free software: you can redistribute it and/or modify
+## it under the terms of the GNU General Public License as published by
+## the Free Software Foundation, either version 3 of the License, or
+## (at your option) any later version.
+##
+## LTI Syncope is distributed in the hope that it will be useful,
+## but WITHOUT ANY WARRANTY; without even the implied warranty of
+## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+## GNU General Public License for more details.
+##
+## You should have received a copy of the GNU General Public License
+## along with LTI Syncope.  If not, see <http://www.gnu.org/licenses/>.
+
+## -*- texinfo -*-
+## @deftypefn{Function File} {[@var{sv}, @var{w}] =} sigma (@var{sys})
+## @deftypefnx{Function File} {[@var{sv}, @var{w}] =} sigma (@var{sys}, @var{w})
+## @deftypefnx{Function File} {[@var{sv}, @var{w}] =} sigma (@var{sys}, @var{[]}, @var{ptype})
+## @deftypefnx{Function File} {[@var{sv}, @var{w}] =} sigma (@var{sys}, @var{w}, @var{ptype})
+## Singular values of frequency response.  If no output arguments are given,
+## the singular value plot is printed on the screen;
+##
+## @strong{Inputs}
+## @table @var
+## @item sys
+## LTI system.  Multiple inputs and/or outputs (MIMO systems) make practical sense.
+## @item w
+## Optional vector of frequency values.  If @var{w} is not specified,
+## it is calculated by the zeros and poles of the system.
+## Alternatively, the cell @code{@{wmin, wmax@}} specifies a frequency range,
+## where @var{wmin} and @var{wmax} denote minimum and maximum frequencies
+## in rad/s.
+## @item ptype = 0
+## Singular values of the frequency response @var{H} of system @var{sys}.  Default Value.
+## @item ptype = 1
+## Singular values of the frequency response @code{inv(H)}; i.e. inversed system.
+## @item ptype = 2
+## Singular values of the frequency response @code{I + H}; i.e. inversed sensitivity
+## (or return difference) if @code{H = P * C}.
+## @item ptype = 3
+## Singular values of the frequency response @code{I + inv(H)}; i.e. inversed complementary
+## sensitivity if @code{H = P * C}.
+## @end table
+##
+## @strong{Outputs}
+## @table @var
+## @item sv
+## Array of singular values.  For a system with m inputs and p outputs, the array sv
+## has @code{min (m, p)} rows and as many columns as frequency points @code{length (w)}.
+## The singular values at the frequency @code{w(k)} are given by @code{sv(:,k)}.
+## @item w
+## Vector of frequency values used.
+## @end table
+##
+## @seealso{bodemag, svd}
+## @end deftypefn
+
+## Author: Lukas Reichlin <lukas.reichlin@gmail.com>
+## Created: May 2009
+## Version: 0.6
+
+function [sv_r, w_r] = sigma (sys, w = [], resptype = 0)
+
+  ## TODO: multiplot feature:   sigma (sys1, "b", sys2, "r", ...)
+
+  if (nargin == 0 || nargin > 3)
+    print_usage ();
+  endif
+
+  [H, w] = __frequency_response__ (sys, w, true, resptype, "std", true);
+
+  sv = cellfun (@svd, H, "uniformoutput", false);
+  sv = horzcat (sv{:});
+
+  if (! nargout)  # plot the information
+
+    ## convert to dB for plotting
+    sv_db = 20 * log10 (sv);
+
+    ## determine xlabel
+    if (isct (sys))
+      xl_str = "Frequency [rad/s]";
+    else
+      xl_str = sprintf ("Frequency [rad/s]     w_N = %g", pi / get (sys, "tsam"));
+    endif
+
+    ## plot results
+    semilogx (w, sv_db, "b")
+    axis ("tight")
+    ylim (__axis_margin__ (ylim))
+    grid ("on")
+    title (["Singular Values of ", inputname(1)])
+    xlabel (xl_str)
+    ylabel ("Singular Values [dB]")
+  else            # return values
+    sv_r = sv;
+    w_r = reshape (w, [], 1);
+  endif
+
+endfunction
+
+
+%!shared sv_exp, w_exp, sv_obs, w_obs
+%! A = [1, 2; 3, 4];
+%! B = [5, 6; 7, 8];
+%! C = [4, 3; 2, 1];
+%! D = [8, 7; 6, 5];
+%! w = [2, 3, 4];
+%! sv_exp = [7.9176, 8.6275, 9.4393;
+%!           0.6985, 0.6086, 0.5195];
+%! w_exp = [2; 3; 4];
+%! [sv_obs, w_obs] = sigma (ss (A, B, C, D), w);
+%!assert (sv_obs, sv_exp, 1e-4);
+%!assert (w_obs, w_exp, 1e-4);