robustmodel is used to derive a robust counterpart of an uncertain optimization problem without solving it.
[Frobust,robustobjective] = robustify(F,objective,options)
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
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.