robustmodel is used to derive a robust counterpart of an uncertain optimization problem without solving it.

### Syntax

```
[Frobust,robustobjective] = robustify(F,objective,options)
```

### Examples

Consider the following uncertain problem (**w** is the uncertain variable)

```
sdpvar x w
F = [x+w <= 1];
W = [uncertain(w),-0.5 <= w <= 0.5];
objective = -x;
```

The problem can be solved immediately

```
optimize([F, W],objective);
```

Alternatively, we can first derive a robust version.

```
[Frobust,robustobjective] = robustmodel(F + W,objective);
```

This model does not involve the uncertain variable anymore, and corresponds to the worst-case scenario model. We can now solve the model.

```
optimize(Frobust,robustobjective)
```