Iterative manual control model of human operator

In this paper, we present an iterative manual control model of a human oper ator performing some repetitive task. Various aspects of the model are disc ussed in detail. Experiments have been done to study the human capability t o perform the tasks by learning iteratively. Results of the experiments sho w the ability of the human operator to perform the tracking of a desired tr ajectory for some unknown non-linear system with quite reasonable accuracy during the iteration process. It is concluded that the human operator perfo rms the repetitive task by modifying his control action using error and err or rate in each iteration. During the modification, the human operator assi gns different weights to the error and error rate in each iteration. These results can be implemented in designing more efficient iterative learning c ontrol algorithms.