Talk:Beginning with CVX
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(New page: <pre> lamda_W=eig(full(W)) </pre>) |
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<pre> | <pre> | ||
lamda_W=eig(full(W)) | lamda_W=eig(full(W)) | ||
| + | </pre> | ||
| + | -------------------------------------------------------------------- | ||
| + | |||
| + | Thanks a lot for all the ideas, they all are greats. | ||
| + | |||
| + | The code still not working. I think I’m making thinks wrong (sure). I have a dude. | ||
| + | |||
| + | The new code could be: | ||
| + | |||
| + | <pre> | ||
| + | %0)Initialization | ||
| + | clear all; | ||
| + | |||
| + | %cvx_setup | ||
| + | n=2; m=1; | ||
| + | |||
| + | A_a=3*eye(2*n,2*n) | ||
| + | B_a=4*eye(2*n,2*m) | ||
| + | |||
| + | %1)1 | ||
| + | W=eye(4) | ||
| + | R=(zeros(2,4)) | ||
| + | |||
| + | %2)2 | ||
| + | H=W*A_a'+A_a*W-B_a*R-R'*B_a' | ||
| + | |||
| + | lamda_W=min(eig(full(W))) | ||
| + | lamda_H=max(eig(H)) | ||
| + | Epsilon1=1e-6; | ||
| + | Epsilon2=1e-6; | ||
| + | %3)3 | ||
| + | [v_W,D] = eig( full ( W ) ) | ||
| + | [v_H,D] = eig( full ( H ) ) | ||
| + | |||
| + | cvx_begin | ||
| + | variables p1 p2 W(4,4) R(2,4) | ||
| + | if ( Epsilon1 - lamda_W )>(lamda_H+Epsilon2) CK=v_W'*W*v_W - Epsilon1*eye(2*n) ; | ||
| + | else CK=-Epsilon2*eye(2*n) - v_H'*H*v_H ; | ||
| + | end | ||
| + | |||
| + | minimize (p1+p2) | ||
| + | |||
| + | subject to | ||
| + | |||
| + | W(1,1)<=p1 | ||
| + | W(2,2)<=p1 | ||
| + | W(1,1)>=Epsilon1 | ||
| + | W(2,2)>=Epsilon1 | ||
| + | W(3,3)==W(1,1) | ||
| + | W(4,4)==W(2,2) | ||
| + | |||
| + | R(1,1)>=-p2 | ||
| + | R(1,1)<=p2 | ||
| + | R(2,3)==R(1,1) | ||
| + | R(1,2)>=-p2 | ||
| + | R(1,2)<=p2 | ||
| + | R(2,4)==R(1,2) | ||
| + | |||
| + | CK == semidefinite(2*n); | ||
| + | |||
| + | cvx_end | ||
| + | |||
| + | lamda_W = min ( eig ( full ( W ) ) ) | ||
| + | lamda_H = max ( eig ( full ( H ) ) ) | ||
| + | |||
| + | R | ||
| + | W=full(W) | ||
| + | K=R/W | ||
| + | |||
</pre> | </pre> | ||
Current revision
lamda_W=eig(full(W))
Thanks a lot for all the ideas, they all are greats.
The code still not working. I think I’m making thinks wrong (sure). I have a dude.
The new code could be:
%0)Initialization
clear all;
%cvx_setup
n=2; m=1;
A_a=3*eye(2*n,2*n)
B_a=4*eye(2*n,2*m)
%1)1
W=eye(4)
R=(zeros(2,4))
%2)2
H=W*A_a'+A_a*W-B_a*R-R'*B_a'
lamda_W=min(eig(full(W)))
lamda_H=max(eig(H))
Epsilon1=1e-6;
Epsilon2=1e-6;
%3)3
[v_W,D] = eig( full ( W ) )
[v_H,D] = eig( full ( H ) )
cvx_begin
variables p1 p2 W(4,4) R(2,4)
if ( Epsilon1 - lamda_W )>(lamda_H+Epsilon2) CK=v_W'*W*v_W - Epsilon1*eye(2*n) ;
else CK=-Epsilon2*eye(2*n) - v_H'*H*v_H ;
end
minimize (p1+p2)
subject to
W(1,1)<=p1
W(2,2)<=p1
W(1,1)>=Epsilon1
W(2,2)>=Epsilon1
W(3,3)==W(1,1)
W(4,4)==W(2,2)
R(1,1)>=-p2
R(1,1)<=p2
R(2,3)==R(1,1)
R(1,2)>=-p2
R(1,2)<=p2
R(2,4)==R(1,2)
CK == semidefinite(2*n);
cvx_end
lamda_W = min ( eig ( full ( W ) ) )
lamda_H = max ( eig ( full ( H ) ) )
R
W=full(W)
K=R/W