Optimal Iterative Learning Controls for the Partial Non-Regular Systems Using Lifting Technique

Abstract

Deficiencies of the optimal iterative learning control (ILC) for the non-regular systems are investigated in detail, then a faster control input updating and lifting technique is introduced in the design of optimal ILC for the partial non-regular systems. Besides, a novel optimal ILC based on new defined performance index in iteration domain is presented for the lifted systems. At last, simulation results are given to illustrated feasibility of proposed learning controls.