Robust iterative learning control design via /spl mu/-synthesis

This paper deals with the robust iterative learning control (ILC) design for uncertain single input-single output (SISO) linear time invariant (LTI) systems. The design procedure is based upon solving the robust performance condition using the Youla parameterization and the mu-synthesis approach to obtain a feedback controller. Thereafter, a convergent iterative rule is obtained in a straightforward manner by using the performance weighting function involved in the robust performance condition. Experimental results on the first three links of a 6-degrees of freedom (6-DOF) robot manipulator are presented to illustrate the effectiveness of the proposed design method