Abstract: This study investigates the high-order internal model (HOIM) based data-driven iterative learning control of HSRs subject to faded channels. Firstly, the nonlinear train dynamics are ...
Abstract: In this paper, we address the problem of iterative learning control (ILC) for discrete singular multi-agent systems (MASs) with time delays, where the desired trajectories vary across ...
We introduce iterative retrieval, a novel framework that empowers retrievers to make iterative decisions through policy optimization. Finding an optimal portfolio of retrieved items is a combinatorial ...