Control of a bioprocess using orthonormal basis function fuzzy models

Fuzzy models within the framework of orthonormal basis functions (OBF fuzzy models) were introduced in previous works and have shown to be a very promising approach to the areas of non-linear system identification and control since they exhibit several advantages over those dynamic model architectures usually adopted in the literature. In the present paper these models are reviewed and used as a basis for a predictive control scheme which is applied to the control of a process for ethyl alcohol (ethanol) production.