📄 f_general.m
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function v=f_general(obj,x,t,u,varargin)
% Calculates: f(x,t,u,w)
%
% Syntax: (* = optional)
%
% x_new = f_general(model, x, t, u, w*);
%
% In arguments:
%
% 1. model
% Model object
% 2. x
% Column vector or scalar containing x(t)
% 3. t
% Scalar containing the time of the operation.
% 4. u
% Column vector or scalar containing deterministic data for this particular step.
% 5* w
% Column vector or scalar containing w(t) for this particular step.
% 5* []
% w(t) is drawn from model.w
%
% Out arguments:
%
% 1. x_new
% The result of the operation, x(t+T)
% Toolbox for nonlinear filtering.
% Copyright (C) 2005 Jakob Ros閚 <jakob.rosen@gmail.com>
%
% This program 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
% of the License, or (at your option) any later version.
%
% This program 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 this program; if not, write to the Free Software
% Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
% Handle the process noise
w=[]; % Default: draw noise from object
if nargin>=5
w=varargin{1}; % w was supplied as an argument
end;
if isempty(w)
% No w was given as an argument. Use model.w to draw random data
% if size(x,2)>1, we are dealing with a particle swarm and must draw a matrix
w=random(obj.w, t, 1, size(x,2));
%elseif size(x,2)>1
else
% We assume that w=0 and no noise is going to be drawn.
% However, the zero matrix needs to have the same length as x,
% because we're dealing with a particle swarm.
w=zeros(get(obj.w,'n'), size(x,2));
end % If size(x,2)==1, use the supplied w value (probably 0)
% Evaluate f(x,t,u,w)
v=eval(obj.f,x,t,u,w);
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