www.pudn.com > nnctrl_v5.zip > invinit.m, change:1997-06-06,size:2354b


% ------------------------------>  INVINIT.M  <------------------------------ 
 
% ----------      Switches       ----------- 
regty      ='dic';           % Controller type (dic, pid, none) 
refty      ='siggener';      % Reference signal (siggener/<var. name>) 
simul      ='simulink';      % Control object spec. (simulink/matlab/nnet) 
 
 
% ------    General Initializations  ------- 
Ts = 0.20;                   % Sampling period (in seconds) 
samples = 200 ;              % Number of samples to be simulated 
 
 
% --  System to be Controlled (SIMULINK) -- 
integrator= 'ode45';         % Name of dif. eq. solver (f. ex. ode45 or ode15s) 
sim_model = 'spm1';          % Name of SIMULINK model 
 
 
% ---  System to be Controlled (MATLAB)  -- 
mat_model = 'springm';       % Name of MATLAB model 
model_out = 'smout';         % Output equation (function of the states) 
x0        = [0;0];           % Initial states 
 
 
% ---  System to be Controlled (neural net)  -- 
% The file must contain: NN, NetDeff, W1f, W2f 
nnforw = 'forward';          % Name of file 
 
 
% ----- Inverse Network Specification ------ 
% The file must contain the variables: 
% NN, NetDefi, W1i, W2i 
% (i.e. regressor structure, architecture definition, and weight matrices) 
nninv = 'inverse';           % Name of file 
 
 
% ------------ Reference Filter --------------- 
Am = [1];                    % Filter denominator 
Bm = [1];                    % Filter numerator 
 
 
% ------------ Reference signal ------------ 
dc      = 0;                 % DC-level 
sq_amp  = 1;                 % Amplitude of square signals (row vector) 
sq_freq = 0.1;               % Frequency of square signals (column vector) 
sin_amp = [0];               % Amplitude of sine signals  (row vector) 
sin_freq= [0]';              % Frequency of sine signals   (column vector) 
Nvar  = 0';                  % Variance of white noise signal 
 
 
% --------  Linear Controller Parameters  ---------  
K=8;                         % PID parameters 
Td=0.8;                      % PID 
alf=0.1;                     % PID 
Wi=0.2;                      % PID (1/Ti) 
 
 
% ------- Specify data vectors to plot -------- 
% Notice that all strings in plot_a and plot_b resp. MUST have the same length 
plot_a(1,:) = 'ref_data    '; 
plot_a(2,:) = 'y_data      '; 
plot_b(1,:) = 'u_data';