Human operator behaviour modelling using nonlinear identification techniques

The reason for the present upsurge of interest in intelligent control is that the present generation of control systems are incapable, to a greater or less extent, of dealing with problems of a certain complexity. Fortunately, human operators are often experts in keeping the complex control systems on the tight track. In this paper a method for controller design has been investigated based on a concept of developing a mathematical model for the behaviour of the human operator of the process. This method treats the human operator behaviour as a dynamic process by itself, transformed from the dynamics of the unknown process to be controlled. There are three phases for controller design, observation, modelling and testing phases during which the available observed data are used for training the system and testing it. The method has been successfully applied to control a nonlinear process using computer simulation