In this work we focus on iterativelearningcontrol(ILC) design for tracking iteration-varying reference trajectories that are generated by high-orderinternalmodels(HOIM).An HOIM can be formulated as a polynomial op...
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In this work we focus on iterativelearningcontrol(ILC) design for tracking iteration-varying reference trajectories that are generated by high-orderinternalmodels(HOIM).An HOIM can be formulated as a polynomial operator between consecutive iterations to describe the changes of desired trajectories in the iteration *** classical ILC for tracking iteration-invariant reference trajectories, on the other hand,is a special case of HOIM where the polynomial renders to a unity coefficient or a special first orderinternal *** inserting the HOIM into P-type ILC, the tracking performance along the iteration axis is investigated for a class of continuoustime nonlinear *** of conventional time-weighted norm method guarantees validity of proposed algorithm in a sense of data-driven control.
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