📄 filter_eliminatation.m
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function [F_xw,F_robust] = filter_eliminatation(F_xw,w,order)
F_robust = set([]);
Fvars = getvariables(F_xw);
wvars = getvariables(w);
[mt,vt] = yalmip('monomtable');
if any(sum(mt(Fvars,wvars),2)>order)
for i = 1:length(F_xw)
Fi = sdpvar(F_xw(i));
if any(sum(mt(getvariables(Fi),wvars),2)>order)
[BilinearizeringConstraints,failure] = deriveBilinearizing(Fi,w,order);
if failure
error('Cannot get rid of nonlinear uncertainty in uncertain SDP')
else
% remove all the violating terms from the expression
F_xw(i) = clear_poly_dep(F_xw(i),w,order);
% and add the constraint that actually does this
F_robust = F_robust + BilinearizeringConstraints;
end
end
end
end
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