Model predictive control using fuzzy decision functions

Fuzzy predictive control integrates conventional model predictive control w ith techniques from fuzzy multicriteria decision making, translating the go als and the constraints to predictive control in a transparent way, The inf ormation regarding the (fuzzy) goals and the (fuzzy) constraints of the con trol problem is combined by using a decision function from the theory of fu zzy sets, This paper investigates the use of fuzzy decision making (FDM) in model predictive control (MPC), and compares the results to those obtained from conventional MPC. Attention is also paid to the choice of aggregation operators for fuzzy decision making in control. Experiments on a nonminimu m phase, unstable linear system, and an an air-conditioning system with non linear dynamics are studied. It is shown that the performance of the model predictive controller can be improved by the use of fuzzy criteria in a fuz z? decision making framework.