In this paper, an approach for the tuning of a model-based non-linear predictive control (NMPC) is presented. The proposed uses pattern search optimization algorithm (PSM), which applied to pH in alkalinization process sugar juice. First, model identification made using Takagi Sugeno T-S fuzzy inference systems with multidimensional sets; next step controller parameters tuning. PSM used both ca...
