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annotate m-toolbox/classes/+utils/@math/pzmodel2SSMats.m @ 29:54f14716c721 database-connection-manager

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Update Java code
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Mon, 05 Dec 2011 16:20:06 +0100
parents f0afece42f48
children
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Daniele Nicolodi <nicolodi@science.unitn.it>
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1 function [A,B,C,D] = pzmodel2SSMats(pzm)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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2 if (~numel(pzm)==1) || (~isa(pzm, 'pzmodel'))
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3 error(['function ' mfilename ' only accepts one pzmodel as an input'])
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4 end
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5
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Daniele Nicolodi <nicolodi@science.unitn.it>
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6 den = 1;
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7 num = 1;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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8 G = pzm.gain;
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9
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Daniele Nicolodi <nicolodi@science.unitn.it>
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10 % computing the A matrix
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Daniele Nicolodi <nicolodi@science.unitn.it>
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11 for i=1:length(pzm.poles)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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12 if isnan(pzm.poles(i).q)
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13 w0 = pzm.poles(i).f*2*pi ;
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14 den = conv(den,[1 w0]);
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15 G = G * w0;
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16 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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17 q = pzm.poles(i).q;
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18 w0 = 2*pi*pzm.poles(i).f;
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19 p = [1, 1/q*w0 w0^2];
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20 den = conv(den,p);
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21 G = G * w0 * w0;
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22 end
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23 end
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24
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25 % computing the C matrix
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Daniele Nicolodi <nicolodi@science.unitn.it>
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26 for i=1:length(pzm.zeros)
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27 if isnan(pzm.zeros(i).q)
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28 w0 = pzm.zeros(i).f*2*pi ;
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29 num = conv(num,[1 w0]);
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30 G = G / w0;
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31 else
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32 q = pzm.zeros(i).q;
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33 w0 = 2*pi*pzm.zeros(i).f;
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34 p = [1, 1/q*w0 w0^2];
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35 num = conv(num,p);
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36 G = G / w0 / w0;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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37 end
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38 end
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39
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Daniele Nicolodi <nicolodi@science.unitn.it>
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40 % setting gain
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Daniele Nicolodi <nicolodi@science.unitn.it>
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41 num = num*G;
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42
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43 % zero padding TF numerator if degree is smaller than denominator
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44 Nss = length(den)-1;
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45 if length(num)<Nss+1
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46 num = [zeros(1,Nss+1-length(num)) num];
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47 end
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48
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49 % computing the D/C matrix
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50 [q,r] = deconv(num,den); % polynmial division for den = conv(num,q)+r .
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51 if ~length(q)==1
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52 error('system may be non causal');
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53 end
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54
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55 % Allocating matrices
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56 D = q;
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57 A = [zeros(Nss-1,1) eye(Nss-1); fliplr(-den(2:(Nss+1)))];
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58 B = zeros(Nss,1);
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59 if Nss>0
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60 B(Nss) = 1;
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61 end
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62 C = fliplr(r(2:(Nss+1)));
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63
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64 end