Investigation of iterative learning control by human operator

Abstract

The ability of a human operator in iterative learning control is investigated. Linear and nonlinear systems are used as the plant and the human operator has to generate the proper control inputs to force these systems to track the desired trajectory. Experiments show, the ability of the human operator to perform the tracking of desired trajectories for the above mentioned systems with quite reasonable accuracy during the iteration process without any prior knowledge of the plant.