Abstract
In this work, a new indirect iterative learning control (ILC) method with an iterative dynamical identification of the set-point command is proposed. The ILC law of the set-point is derived from the dynamical linearization of a nonlinear ideal ILC law. Then, the estimation law of the parameter in the ILC law is derived from the optimization of a cost function. At last, simulations demonstrate the advantages of the proposed scheme.
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