Shows how admissible set algorithms can be applied to the OMPC/SOMPC algorithms in order to ensure the predictions satsify constraints using a finite number of inequalities. Focus is on the regulation case. MATLAB code is included to demonstrate the sets being used within an OMPC context to give optimum constrained performance while retaining guarantees of convergence. TYPO: Constraints sets' top block should be G and not GA.