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    %% Sample Tunable Model Over Grid of Values
%
% Consider the second-order filter represented by: 
%%
% 
% $$F\left( s \right) = \frac{{\omega _n^2}}{{{s^2} + 2\zeta {\omega _n}s + \omega _n^2}}.$$
% 
%% 
% Sample this filter at varying values of the damping constant $\zeta$ and
% the natural frequency $\omega_{n}$. Create a tunable model of the
% filter by using tunable elements for $\zeta$ and
% $\omega_{n}$. 
wn = realp('wn',3);
zeta = realp('zeta',0.8);
F = tf(wn^2,[1 2*zeta*wn wn^2])
%%
% Create a grid of sample values. 
wnvals = [3;5];
zetavals = [0.6 0.8 1.0];
[wngrid,zetagrid] = ndgrid(wnvals,zetavals);
Fsample = replaceBlock(F,'wn',wngrid,'zeta',zetagrid);
size(Fsample)
%%
% The ndgrid command produces a full 2-by-3 grid of parameter combinations.
% Thus, |Fsample| is a 2-by-3 array of state-space models.  Each entry in
% the array is a state-space model that represents |F| evaluated at the
% corresponding (|wn|, |zeta|) pair. For example, |Fsample(:,:,2,3)| has
% |wn| = 5 and |zeta| = 1.0.
damp(Fsample(:,:,2,3))