X-Git-Url: https://git.creatis.insa-lyon.fr/pubgit/?a=blobdiff_plain;f=octave_packages%2Fcontrol-2.3.52%2F%40tf%2F__sys_connect__.m;fp=octave_packages%2Fcontrol-2.3.52%2F%40tf%2F__sys_connect__.m;h=39b76604286c8cfb47b12fad31be00082a2a6f01;hb=f5f7a74bd8a4900f0b797da6783be80e11a68d86;hp=0000000000000000000000000000000000000000;hpb=1705066eceaaea976f010f669ce8e972f3734b05;p=CreaPhase.git
diff --git a/octave_packages/control-2.3.52/@tf/__sys_connect__.m b/octave_packages/control-2.3.52/@tf/__sys_connect__.m
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+## Copyright (C) 2009, 2011 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 .
+
+## -*- texinfo -*-
+## @deftypefn {Function File} {@var{retsys} =} __sys_connect__ (@var{sys}, @var{M})
+## This function is part of the Model Abstraction Layer. No argument checking.
+## For internal use only.
+## @example
+## @group
+## Problem: Solve the system equations of
+## Y(s) = G(s) E(s)
+## E(s) = U(s) + M Y(s)
+## in order to build
+## Y(s) = H(s) U(s)
+## Solution:
+## Y(s) = G(s) [I - M G(s)]^-1 U(s)
+## = [I - G(s) M]^-1 G(s) U(s)
+## @end group
+## @end example
+## @end deftypefn
+
+## Author: Lukas Reichlin
+## Created: October 2009
+## Version: 0.2
+
+function sys = __sys_connect__ (sys, M)
+
+ [p, m] = size (sys);
+
+ num = sys.num;
+ den = sys.den;
+
+ ## TODO: Implementation for MIMO models. There are three possibilities:
+ ## 1. An _algebraic_ solution of the inversion problem in order
+ ## to not introduce unwanted zero/pole pairs. Difficult.
+ ## 2. A numeric solution of the inversion problem. Afterwards,
+ ## elimination of _all_ zero/pole pairs by minreal. Bad.
+ ## 3. Conversion to state-space, solving the problem there and
+ ## converting back to transfer function. Easier, but obviously,
+ ## this way needs MIMO __sys2ss__ and __sys2tf__ implementations
+ ## as described in Thomas Kailath's classic "Linear Systems".
+ ## Possibly this is the way to go, but it works for proper systems
+ ## only unless descriptor state-space models are implemented.
+
+ ## WARNING: The code below is a cheap hack to quickly enable SISO TF connections.
+
+ ## TODO: Check for den = 0, e.g. in feedback (tf (1), tf (-1))
+
+ if (p == 2 && m == 2 && num{1,2} == 0 && num{2,1} == 0 \
+ && M(1,1) == 0 && M(2,2) == 0)
+ ## mtimes, feedback
+ sys.num(1,1) = num{1,1} * den{2,2};
+ sys.num(1,2) = M(1,2) * num{1,1} * num{2,2};
+ sys.num(2,1) = M(2,1) * num{1,1} * num{2,2};
+ sys.num(2,2) = num{2,2} * den{1,1};
+
+ sys.den(:) = den{1,1} * den{2,2} - M(1,2) * M(2,1) * num{1,1} * num{2,2};
+
+ elseif (p == 3 && m == 4 && num{1,3} == 0 && num{1,4} == 0 \
+ && num{2,1} == 0 && num{2,2} == 0 && num{2,4} == 0 \
+ && num{3,1} == 0 && num{3,2} == 0 && num{3,3} == 0 \
+ && M == [0, 1, 0; 0, 0, 1; 0, 0, 0; 0, 0, 0])
+ ## horzcat [sys1, sys2], plus, minus
+ sys.num(:) = tfpoly (0);
+ sys.den(:) = tfpoly (1);
+
+ sys.num(1,1) = num{1,1};
+ sys.num(1,2) = num{1,2};
+ sys.num(1,3) = num{1,1} * num{2,3};
+ sys.num(1,4) = num{1,2} * num{3,4};
+ sys.num(2,3) = num{2,3};
+ sys.num(3,4) = num{3,4};
+
+ sys.den(1,3) = den{2,3};
+ sys.den(1,4) = den{3,4};
+ sys.den(2,3) = den{2,3};
+ sys.den(3,4) = den{3,4};
+
+ elseif (p == 3 && m == 3 && num{1,3} == 0 \
+ && num{2,1} == 0 && num{2,2} == 0 && num{2,3} == 1 \
+ && num{3,1} == 0 && num{3,2} == 0 && num{3,3} == 1 \
+ && M == [0, 1, 0; 0, 0, 1; 0, 0, 0])
+ ## plus, minus
+ sys.num(1,3) = num{1,1} * den{1,2} + num{1,2} * den{1,1};
+ sys.den(1,3) = den{1,1} * den{1,2};
+
+ elseif (p == 4 && m == 3 && num{1,2} == 0 && num{1,3} == 0 \
+ && num{2,1} == 0 && num{2,3} == 0 \
+ && num{3,1} == 0 && num{3,2} == 0 && num{3,3} == 1 \
+ && num{4,1} == 0 && num{4,2} == 0 && num{4,3} == 1 \
+ && M == [0, 0, 1, 0; 0, 0, 0, 1; 0, 0, 0, 0])
+ ## vertcat [sys1; sys2]
+ sys.num(1,3) = num{1,1};
+ sys.num(2,3) = num{2,2};
+
+ sys.den(1,3) = den{1,1};
+ sys.den(2,3) = den{2,2};
+
+ else
+ ## MIMO case, convert to state-space and back.
+ warning ("tf: converting to minimal state-space for MIMO TF interconnections");
+ sys = tf (__sys_connect__ (ss (sys), M));
+
+ endif
+
+endfunction