Initial-rectification iterative learning control approach of linear motor systems

This work studies the initial-rectification adaptive iterative learning control design for the linear motor systems with unknown input deadzone. For overcoming the nonzero initial error of iterative leaning control, an initial-rectification trajectory is constructed. By making the system state follow the initial-rectification trajectory along the iteration axis, we can get the necessary accurate tracking during the presented time interval. Robust adaptive learning control approach is employed to compensate for complicated uncertainties and disturbances.