Adaptive Fuzzy Model-Based Predictive Control Using Fuzzy Decision- Making

Motivated by the need to develop more effective methods of controlling uncertain non-linear systems, this paper focus on developing an adaptive fuzzy model-based controller, in which the optimisation variables remain in the fuzzy domain. The scheme uses an on-line fuzzy identification scheme, which is able to generate a fuzzy relational model using the training data from the system. The proposed control system is applied to supply air temperature control in the simulated cooling coil system of an air-conditioning system. Results are presented that demonstrate the improvement of the proposed scheme compare to the non-adaptive version of the controller.