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slidemo.m
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% The SLICOT System Identification Toolbox contains subspace-based
% tools for finding mathematical models of linear multivariable
% dynamical systems, using input-output data.
%
% SLICOT Identification Toolbox demonstrations:
%
% 1) A simple example: a flexible robot arm.
% 2) Given "true" system: the flexible robot arm model in 1).
% 3) Complex system without inputs: cutaneous potential recordings
% of a pregnant woman.
% 4) More complex system with 28 outputs: steel subframe flexible structure.
% (It could take about 5 minutes on a 500 MHz machine.)
% 5) Compare different SLICOT identification methods and algorithms.
%
% 0) Quit.
%
% Note: SLICOT System Identification Toolbox uses the system object
% from Matlab Control System Toolbox. The demonstration for 2)
% also uses the function xcorr from Signal Processing Toolbox.
% RELEASE 2.0 of SLICOT System Identification Toolbox.
% Based on SLICOT RELEASE 5.7, Copyright (c) 2002-2020 NICONET e.V.
%
% V. Sima 30-12-2000.
%
% Revisions:
% V. Sima 03-07-2020.
%
global pause_wait % This could be used in pause(n) command.
% If pause_wait < 0, standard command pause is used (default).
% Any key should then be pressed to continue.
% It may need to use the command "pause on" before
% calling fstdemo.
k = 0;
while (1)
disp(' ')
help slidemo
k = input('Select a demonstration example number: ');
disp(' ')
if isempty(k), k = 20; end
if k == 0, break, end
if k == 1, slidemo1, end
if k == 2, slidemo2, end
if k == 3, slidemo3, end
if k == 4, slidemo4, end
if k == 5, slidemo5, end
end