CONTROL OF CHEMICAL REACTOR WITH DISTURBANCES VIA NEURO-FUZZY CONTROL SYSTEM

This paper presents the intelligent control system design via the combination of the predictive and the neural-fuzzy controller type of ANFIS. The ANFIS operates in parallel with the neural predictive controller. ANFIS adjusts the output of the predictive controller in order to enhance the predicted inputs. The performance of our proposal is demonstrated on the chemical reactor control problem. Experimental results demonstrate the feasibility of the proposed intelligent control system.