**I want to solve a simple convex problem that minimizes target function as bellow.**

```
cvx_begin sdp
variable P(2,2) symmetric
variable rho(2,1)
minimize((norm( A+*xold+B*U-A*xhatL(:,i)-inv_pos(P)*rho*(C*A*xold),2)))
subject to
[P P*A-rho*C
(P*A-rho*C)' P
]>=0
P >= zeros(2,2)
cvx_end
```

**this give an error as** **Cannot perform the operation {convex}*{affine}** **then I define a convex variable** **as a matrix instead of inv§ But it give error as** **Only scalar quadratic forms can be specified in CVX .**

**now I don’t know how to solve it. I want to ask you if it is possible please help me.**