A controller is presented which guarantees system stability by using a feed
back controller coupled with an intelligent compensator, and achieves preci
se tracking by using a set of iterative learning rules. In the feedback plu
s intelligent controller unit, the feedback control part stabilises the ove
rall closed-loop system and keeps its error bounded, and the intelligent co
mpensator estimates and compensates for the nonlinear part of the system, t
hereby keeping the feedback gains reasonably low in the feedback controller
. In the iterative learning controller, a simple learning control rule is.
used to achieve precise tracking of the reference signal and a parameter le
arning rule is used to update the parameters of the intelligent compensator
, thereby identifying the uncertain nonlinearity as closely as possible.