Mercurial > hg > octave-nkf
view scripts/control/is_controllable.m @ 3297:b68ef5dec3bd
[project @ 1999-10-19 17:52:27 by jwe]
author | jwe |
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date | Tue, 19 Oct 1999 17:52:30 +0000 |
parents | f7e4a95916f2 |
children | 8dd4718801fd |
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# Copyright (C) 1993, 1994, 1995 Auburn University. All Rights Reserved # # This file is part of Octave. # # Octave 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 2, or (at your option) any # later version. # # Octave 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 Octave; see the file COPYING. If not, write to the Free # Software Foundation, 59 Temple Place, Suite 330, Boston, MA 02111 USA. function [retval,U] = is_controllable (a, b, tol) # [retval, U] = is_controllable (a, b {,tol}) # = is_controllable (sys{, tol}) # Returns retval=1 if the system sys or the pair (a, b) is controllable # 0 if not. # U is an orthogonal basis of the controllable subspace. # # Controllability is determined by applying Arnoldi iteration with # complete re-orthogonalization to obtain an orthogonal basis of the # Krylov subspace. # # span ([b,a*b,...,a^ b]). # # tol is a roundoff paramter, set to 10*eps if omitted. # # See also: size, rows, columns, length, is_matrix, is_scalar, is_vector # is_observable, is_stabilizable, is_detectable, krylov, krylovb # Written by A. S. Hodel (scotte@eng.auburn.edu) August, 1993. # Updated by A. S. Hodel (scotte@eng.auburn.edu) Aubust, 1995 to use krylovb # Updated by John Ingram (ingraje@eng.auburn.edu) July, 1996 for packed systems deftol = 1; # assume default tolerance if(nargin < 1 | nargin > 3) usage("[retval,U] = %s\n\t%s", "is_controllable(a {, b ,tol})", ... "is_controllable(sys{,tol})"); elseif(is_struct(a)) # system structure passed. sys = sysupdate(a,"ss"); [a,bs] = sys2ss(sys); if(nargin > 2) usage("[retval,U] = is_controllable(sys{,tol})"); elseif(nargin == 2) tol = b; % get tolerance deftol = 0; endif b = bs; else # a,b arguments sent directly. if(nargin < 2) usage("[retval,U] = is_controllable(a {, b ,tol})"); else deftol = 1; endif endif # check for default tolerance if(deftol) tol = 1000*eps; endif # check tol dimensions if( !is_scalar(tol) ) error("is_controllable: tol(%dx%d) must be a scalar", ... rows(tol),columns(tol)); elseif( !is_sample(tol) ) error("is_controllable: tol=%e must be positive",tol); endif # check dimensions compatibility n = is_square (a); [nr, nc] = size (b); if (n == 0 | n != nr | nc == 0) warning("is_controllable: a=(%dx%d), b(%dx%d)",rows(a),columns(a),nr,nc); retval = 0; else # call block-krylov subspace routine to get an orthogonal basis # of the controllable subspace. [U,H,Ucols] = krylov(a,b,n,tol,1); retval = (Ucols == n); endif endfunction