Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/70342
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dc.titleFixed Point Theorem based Iterative Learning Control for LTV Systems with Input Singularity
dc.contributor.authorXu, J.-X.
dc.contributor.authorYan, R.
dc.date.accessioned2014-06-19T03:11:03Z
dc.date.available2014-06-19T03:11:03Z
dc.date.issued2003
dc.identifier.citationXu, J.-X.,Yan, R. (2003). Fixed Point Theorem based Iterative Learning Control for LTV Systems with Input Singularity. Proceedings of the American Control Conference 4 : 3655-3660. ScholarBank@NUS Repository.
dc.identifier.issn07431619
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/70342
dc.description.abstractIn this work we address a challenging and open problem: how to design a suitable iterative learning control (ILC) system in the presence of input singularity, which is incurred by the singularities of the system direct feed-through term. Considering two typical types of input singularities, we first revise the ILC operators accordingly by adding a forgetting factor and incorporating a time varying learning gain, in the sequel guarantee ILC operators to be contractible. Next, using Banach fixed-point theorem, we demonstrate that the output sequence can either enter and remains ultimately in a designated neighbourhood of the target trajectory, or bounded by a class Κ function. Finally an illustrative example is presented.
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.sourcetitleProceedings of the American Control Conference
dc.description.volume4
dc.description.page3655-3660
dc.description.codenPRACE
dc.identifier.isiutNOT_IN_WOS
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