Experimental Error in Control Sets Calculation:Implementation of low-discrepancy deterministic and stochastic sequences

LINA M. GÓMEZ; ADRIANA N. AMICARELLI; ALEX ALZATE; FERNANDO A. DI SCIASCIO

Medellín

Congreso; XVII Latin American Conference of Automatic Control (CLCA); 2016

EAFIT

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.