%%%
%%% Process model
%%%

Ts   = 0.3;

A = [ 0         0.8187         0
     -0.0747    0.9902         0.0017
     -0.4302   -0.1203         0.9944];

B = [0     0
     0     1
     1     0];

C = [0     0     1
     0     1     0];
 
D = zeros(2,2); 
 
x0 = [0.03 0.02 0.01]; % Initial conditions 

v = [0.2 0.3 0.4];     % Eigenvalues for UIO

%%%
%%% Noise processes for the input and output sensors 
%%%

q1 = (0.9*0.1)^2; % Noise variance on input #1
q2 = (0.4*0.1)^2; % Noise variance on input #2

r1 = (0.8)^2; % Noise variance on output #1
r2 = (0.3)^2; % Noise variance on output #2






return