2 research outputs found

    Analysis of boundary effects in iterative learning control

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    Boundary effects in iterative learning control (ILC) algorithms are considered in this article. ILC algorithms involve filtering of input and error signals over finite-time intervals, often using non-causal filters, and it is important that the boundary effects of the filtering operations are handled in an appropriate way. The topic is studied using both a proposed theoretical framework and simulations, and it is shown that the method for handling the boundary effects has impact on the stability and convergence properties of the ILC algorithm.Funding Agencies|Vinnovas Industry Excellence Centre LINK-SIC||strategic research centre ELLIIT at Linkoping University||</p
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