MODELING OF THE HUMAN OPERATOR IN CONTROL SYSTEMS USING NEURO_FUZZY METHODS
PRUTEANU EUSEBIU, NIŢU COSTICĂ
UNIVERSITY OF BACĂU, POLITEHNICA UNIVERSITY OF BUCHAREST
Abstract
The mathematical model of the human operator behavior in control systems is nonlinear because the parameters of transfer function are modifying in time. It has a complex serial-parallel structure with elements of commutation in function of the mental calculation results and of the process conditions and because in many applications the thinking process can be modified in time. In the paper the use of the neuro-fuzzy methods for mental model obtaining is described.