📄 fsvanf.m
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function resp = fsvanf(w,g,h,k);
%FSVANF Performance and robustness measures with arbitrary feedback.
% [RESP] = FSVANF(W,G,H,K) (K optional)
%
% See FSVANF in the MFD reference manual. G is an MVFR matrix of the
% compensated plant, K represents a pre-compensator and H is a feedback
% matrix. W is the associated frequency vector for G and K.
%
% FSVANF returns a matrix, RESP, with 9 columns.
% 1: Max singular value of transmission from 'd' to the plant outputs.
% 2: Max singular value of transmission from 'n' to the plant outputs.
% 3: Max singular value for tracking error = (y-r)/r.
% 4: Max singular value of transmission from 'r' to the plant inputs.
% 5: The maximum singular value of an unstructured additive perturbation
% for which closed loop stability can be guaranteed. (Also see 8)
% 6: The maximum singular value of an unstructured input multiplicative
% perturbation for which closed loop stability can be guaranteed.
% 7: The maximum singular value of an unstructured output multiplicative
% perturbation for which closed loop stability can be guaranteed.
% 8: As 5, but less conservative.
% 9: Max singular value of transmission from plant input to output.
% J-M. Boyle, 8th September 1987. Modified by J.M.Maciejowski, 9 May 1989.
% Copyright (c) 1987 by GEC Engineering Research Centre & Cambridge Control Ltd.
% MRN0019, MRN0028
nargs=nargin;
error(nargchk(3,4,nargs));
[mg,ng] = fsize(w,g);
[mh,nh] = fsize(w,h);
if nargs == 3 % G and H non-unity.
if (ng~=mh) | (nh~=mg)
error('G*H and H*G must both be square (K = I).')
end
k = eyef(w,ng); % K = I.
else
[mk,nk]=fsize(w,k);
if nk~=mh
error('Rows of H not equal to columns of K.')
end
if mk~=ng
error('Rows of K not equal to columns of G.')
end
if nh~=mg
error('Rows of G not equal to columns of H.')
end
end % 3 input arguments
% Call the utility function FSVUT to calculate the performance
% and robustness measures.
[dv,nv,tv,uv,av,miv,mov,av2,div] = fsvut(w,g,k,h);
resp = [dv,nv,tv,uv,av,miv,mov,av2,div];
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