ILC FOR NONMINIMUM-PHASE SYSTEM

In this payer we propose a design method of an iterative learning cont roller (ILC) for a non-minimum phase (NMP) system by model-matching th eory. The ILC consists of two learning filters acting on both the prev ious input signal and the previous error signal. To design the learnin g filters, we convert the convergence condition of the ILC into the mo del-matching problem and get the stable and propel learning filter by solving the Nevanlinna's algorithm. To show the usefulness of the prop osed algorithm, some design examples are included.