Mercurial > hg > octave-nkf
view scripts/control/lqr.m @ 3284:f7e4a95916f2
[project @ 1999-10-13 21:37:04 by jwe]
author | jwe |
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date | Wed, 13 Oct 1999 21:37:40 +0000 |
parents | 6dd06d525de6 |
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 [k, p, e] = lqr (a, b, q, r, s) # Usage: [k, p, e] = lqr (A, B, Q, R {,S}) # # Linear quadratic regulator design for the continuous time system # dx/dt = A x + B u # to minimize the cost functional # # J = int_0^\infty{ [x' u'] [Q S'; S R] [x ; u] dt} # # inputs: # A, B: coefficient matrices for continuous time system # Q, R, S: cost functional coefficient matrices. # Q: must be nonnegative definite. # R: must be positive definite # S: defaults to 0 # # if S is omitted, the optimization simplifies to the usual # # J = int_0^\infty{ x' Q x + u' R u } # # Returns: # # k = state feedback gain, (A - B K) is stable and minimizes the # cost functional # p = solution of algebraic Riccati equation # e = closed loop poles of (A - B K) # # reference: Anderson and Moore, OPTIMAL CONTROL: LINEAR QUADRATIC METHODS, # Prentice-Hall, 1990, pp. 56-58 # Written by A. S. Hodel (scotte@eng.auburn.edu) August 1993. # disp("lqr: entry"); if ((nargin != 4) && (nargin != 5)) error ("lqr: invalid number of arguments"); endif # Check a. if ((n = is_square (a)) == 0) error ("lqr: requires 1st parameter(a) to be square"); endif # Check b. [n1, m] = size (b); if (n1 != n) error ("lqr: a,b not conformal"); endif # Check q. if ( ((n1 = is_square (q)) == 0) || (n1 != n)) error ("lqr: q must be square and conformal with a"); endif # Check r. if ( ((m1 = is_square(r)) == 0) || (m1 != m)) error ("lqr: r must be square and conformal with column dimension of b"); endif # Check if n is there. if (nargin == 5) [n1, m1] = size (s); if ( (n1 != n) || (m1 != m)) error ("lqr: z must be identically dimensioned with b"); endif # Incorporate cross term into a and q. ao = a - (b/r)*s'; qo = q - (s/r)*s'; else s = zeros (n, m); ao = a; qo = q; endif # Check that q, (r) are symmetric, positive (semi)definite if (is_symmetric (q) && is_symmetric (r) ... && all (eig (q) >= 0) && all (eig (r) > 0)) p = are (ao, (b/r)*b', qo); k = r\(b'*p + s'); e = eig (a - b*k); else error ("lqr: q (r) must be symmetric positive (semi) definite"); endif # disp("lqr: exit"); endfunction