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agregar identificación arx #7

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agregar identificación arx #7

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182c84a
:sparkles: identificacion por arx
Jul 2, 2020
f1bac33
:hammer: refactorear frecuencia de muestreo
Jul 2, 2020
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31 changes: 19 additions & 12 deletions identification_methods.m
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Original file line number Diff line number Diff line change
Expand Up @@ -7,8 +7,6 @@
Gs = (20*s+500)/((3*s+1)*(5*s+1))
% Periodo de muestreo
Ts = 0.1;
% Frecuencia de Muestreo
frec_sampl = 1/Ts;
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@hugopipino hugopipino Jul 2, 2020

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Me gustaba más como global pero va a funcionar igual.

% Discretizacion
Gz = c2d(Gs, Ts, 'zoh')

Expand Down Expand Up @@ -71,15 +69,24 @@
%#definidas, residual_analysis indica si se debe plotear un análisis de residuos
%#
%# SYNOPSIS discrete_ident_arx(data, Ts, focus_mode, na, nb, nk, residual_analysis)
%# INPUT data(iddata): paquete de identificación
%# INPUT Ts(double): tiempo de muestreo
%# INPUT focus_mode(*char): modo para Opt.Focus
%# INPUT na(double):
%# INPUT nb(double):
%# INPUT nk(double):
%# INPUT residual_analysis(logical): opción de analizar los residuos
%# OUTPUT Gzi(tf): función de transferencia del sistema identificado por arx

%# INPUT data(package):
%# INPUT Ts(float):
%# INPUT focus_mode(string):
%# INPUT na(float):
%# INPUT nb(float):
%# INPUT nk(float):
%# INPUT residual_analysis(boolean):
%# OUTPUT Gzi(tf):
Opt = arxOptions;
Opt.Focus = focus_mode;
sys_id = arx(data, [na nb nk], Opt);
[num, den] = tfdata(sys_id);
Gzi = tf(num, den, Ts)

frecuency_sampling = 1/Ts;
if residual_analysis
analyze_residuals(data, sys_id, frecuency_sampling)
end
end

function Gzi_mc = discrete_ident_recursive_least_squares(data, Ts, plot_ident)
Expand Down Expand Up @@ -147,4 +154,4 @@ function validate_identifications(data, Gzi, Gzi_mc)
xlabel('Tiempo [s]');
legend(sprintf('ARX (%2.2f)', fit), sprintf('RLS (%2.2f)', fit_mc), 'Salida', 'Location', 'SouthEast');
print -dsvg validate-model.svg
end
end