The problem of non-linear predictive control has been receiving attention in the recent years due to the new demands in flexibility in the process industry. Fuzzy control is a technique that has been used in process and automotive industry with a remarkable success. Fuzzy modeling is a recently developed technique with very interesting properties for the modeling and identification of the global behaviour of non-linear systems. The design of non-linear predictive controllers presents some advantages from the performance and implementation point of view. This research has explored this control technique, including new algorithms for constrained and unconstrained inputs and outputs.
Green line is the reference.