Dynamic-Calibration/utils/YALMIP-master/extras/variable_replace.m

100 lines
2.9 KiB
Matlab
Executable File

function Z = variable_replace(X,Y,W)
% Check so that Y is a simple unit variable
Ybase = getbase(Y);
Yvariables = getvariablesSORTED(Y);
Xbase = getbase(X);
Xvariables = getvariables(X);
[i,j,k] = find(Ybase);
if ~isequal(sort(i),1:length(i))
end
if ~isequal(sort(j),2:(length(i)+1))
end
if ~all(k == 1)
end
[mt,variabletype] = yalmip('monomtable');
% Linear, or at least linear in Y
if all(variabletype(Xvariables) == 0) %| all(sum(mt(any(mt(getvariables(X),getvariables(Y)),2),:),2)==1)
% Simple linear replacement
v = 1;
v1 = [];
v2 = [];
i1 = [];
i2 = [];
for i = 1:length(Xvariables)
XisinY = find(Xvariables(i) == Yvariables);
if ~isempty(XisinY)
% v = [v;W(XisinY)];
v1 = [v1 XisinY];
i1 = [i1 i];
else
% v = [v;recover(Xvariables(i))];
v2 = [v2 Xvariables(i)];
i2 = [i2 i];
end
end
v = sparse(i1,ones(length(i1),1),W(v1),length(Xvariables),1);
v = v + sparse(i2,ones(length(i2),1),recover(v2),length(Xvariables),1);
Z = Xbase*[1;v];
%Z = Xbase*[v];
Z = reshape(Z,size(X,1),size(X,2));
else
if nnz(mt(getvariables(X),getvariables(Y)))==0
Z = X;
else
Z = nonlinearreplace(X,Y,W);
end
return
% error('Nonlinear replacement not supported yet')
end
% This has not been tested (copied from variable_replace) so it is placed
% in a catch to be safe.
try
Xvariables = getvariables(Z);
extvar = yalmip('extvariables');
Xext = find(ismember(Xvariables,extvar));
if ~isempty(Xext)
%We must dig down in extended operators to see if they use the replaced
%set of variables
for i = 1:length(Xext)
extstruct = yalmip('extstruct',Xvariables(Xext(i)));
anychanged = 0;
for j = 1:length(extstruct.arg)
if isa(extstruct.arg{j},'sdpvar')
XinY = find(ismembc(getvariables(extstruct.arg{j}),Yvariables));
if ~isempty(XinY)
anychanged = 1;
extstruct.arg{j} = replace(extstruct.arg{j},Y,W);
else
end
end
end
if anychanged
Zi = yalmip('define',extstruct.fcn,extstruct.arg{:});
Xvariables(Xext(i)) = getvariables(Zi);
end
end
% And now recover this sucker
Z = struct(Z);
Z.lmi_variables = Xvariables;
% Messed up order (lmi_variables should be sorted)
if any(diff(Z.lmi_variables)<0)
[i,j]=sort(Z.lmi_variables);
Z.basis = [Z.basis(:,1) Z.basis(:,j+1)];
Z.lmi_variables = Z.lmi_variables(j);
end
Z = sdpvar(Z.dim(1),Z.dim(2),[],Z.lmi_variables,Z.basis);
end
catch
end
function Yvariables = getvariablesSORTED(Y);
Y = Y(:);
for i = 1:length(Y)
Yvariables(i) = getvariables(Y(i));
end