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.
Cuvinte cheie
human-centered design
human error
human factors
human-machine interface
human perception
human reliability
human supervisory control.