Año: 2016
Autores: Alzate, A.; Amicarelli, A.; Gomez, L.; di Sciascio, F.;
Resumen: Set Theoretic Methods in Control using random sequences have been widely used previously as a tool for process design. In this paper, we present experimental results of determining control sets by using low-discrepancy deterministic sequences as an alternative to random sequences. We show that in certain situations this approach allows to reduce both significantly, the experimental error and the computational time.