Improving Disturbance Estimation and Suppression via Learning Among Systems With Mismatched Dynamics
Improving Disturbance Estimation and Suppression via Learning Among Systems With Mismatched Dynamics
Iterative learning control (ILC) is a method for reducing system tracking or estimation errors over multiple iterations by using information from past iterations. The disturbance observer (DOB) is used to estimate and mitigate disturbances within the system, while the system is being affected by them. ILC enhances system performance by …