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📄 dlqe.m

📁 similer program for matlab
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## Copyright (C) 1993, 1994, 1995, 2000, 2005, 2007 Auburn University#### 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 3 of the License, 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, see## <http://www.gnu.org/licenses/>.## -*- texinfo -*-## @deftypefn {Function File} {[@var{l}, @var{m}, @var{p}, @var{e}] =} dlqe (@var{a}, @var{g}, @var{c}, @var{sigw}, @var{sigv}, @var{z})## Construct the linear quadratic estimator (Kalman filter) for the## discrete time system## @iftex## @tex## $$##  x_{k+1} = A x_k + B u_k + G w_k## $$## $$##  y_k = C x_k + D u_k + v_k## $$## @end tex## @end iftex## @ifinfo#### @example## x[k+1] = A x[k] + B u[k] + G w[k]##   y[k] = C x[k] + D u[k] + v[k]## @end example#### @end ifinfo## where @var{w}, @var{v} are zero-mean gaussian noise processes with## respective intensities @code{@var{sigw} = cov (@var{w}, @var{w})} and## @code{@var{sigv} = cov (@var{v}, @var{v})}.#### If specified, @var{z} is @code{cov (@var{w}, @var{v})}.  Otherwise## @code{cov (@var{w}, @var{v}) = 0}.#### The observer structure is## @iftex## @tex## $$##  z_{k|k} = z_{k|k-1} + l (y_k - C z_{k|k-1} - D u_k)## $$## $$##  z_{k+1|k} = A z_{k|k} + B u_k## $$## @end tex## @end iftex## @ifinfo#### @example## z[k|k] = z[k|k-1] + L (y[k] - C z[k|k-1] - D u[k])## z[k+1|k] = A z[k|k] + B u[k]## @end example## @end ifinfo#### @noindent## The following values are returned:#### @table @var## @item l## The observer gain,## @iftex## @tex## $(A - ALC)$.## @end tex## @end iftex## @ifinfo## (@var{a} - @var{a}@var{l}@var{c}).## @end ifinfo## is stable.#### @item m## The Riccati equation solution.#### @item p## The estimate error covariance after the measurement update.#### @item e## The closed loop poles of## @iftex## @tex## $(A - ALC)$.## @end tex## @end iftex## @ifinfo## (@var{a} - @var{a}@var{l}@var{c}).## @end ifinfo## @end table## @end deftypefn## Author: A. S. Hodel <a.s.hodel@eng.auburn.edu>## Created: August 1993## Modified for discrete time by R. Bruce Tenison (btenison@eng.auburn.edu)## October, 1993## Modified by Gabriele Pannocchia <pannocchia@ing.unipi.it>## July 2000function [l, m, p, e] = dlqe (a, g, c, sigw, sigv, s)  if (nargin != 5 && nargin != 6)    error ("dlqe: invalid number of arguments");  endif  ## The problem is dual to the regulator design, so transform to dlqr call.  if (nargin == 5)    [k, m, e] = dlqr (a', c', g*sigw*g', sigv);  else    [k, m, e] = dlqr (a', c', g*sigw*g', sigv, g*s);    warning ("dlqe: use dkalman when there is a cross-covariance term");  endif  l = m*c'/(c*m*c'+sigv);  p = m - m*c'/(c*m*c'+sigv)*c*m;endfunction

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