Please use this identifier to cite or link to this item: https://doi.org/10.1109/TSMCB.2003.818433
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dc.titleOn Iterative Learning from Different Tracking Tasks in the Presence of Time-Varying Uncertainties
dc.contributor.authorXu, J.-X.
dc.contributor.authorXu, J.
dc.date.accessioned2014-10-07T04:33:46Z
dc.date.available2014-10-07T04:33:46Z
dc.date.issued2004-02
dc.identifier.citationXu, J.-X., Xu, J. (2004-02). On Iterative Learning from Different Tracking Tasks in the Presence of Time-Varying Uncertainties. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 34 (1) : 589-597. ScholarBank@NUS Repository. https://doi.org/10.1109/TSMCB.2003.818433
dc.identifier.issn10834419
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/82810
dc.description.abstractIn this paper, we introduce a new iterative learning control (ILC) method, which enables learning from different tracking control tasks. The proposed method overcomes the limitation of traditional ILC in that, the target trajectories of any two consecutive iterations can be completely different. For nonlinear systems with time-varying and time-invariant parametric uncertainties, the new learning method works effectively to nullify the tracking error. To facilitate the learning control system design and analysis, in the paper we use a composite energy function (CEF) index, which consists of a positive scalar function and ℒ 2 norm of the function approximation error.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/TSMCB.2003.818433
dc.sourceScopus
dc.subjectComposite energy function
dc.subjectIterative learning
dc.subjectNonidentical trajectories
dc.subjectNonlinear dynamics
dc.subjectTime-varying parametric uncertainty
dc.typeArticle
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/TSMCB.2003.818433
dc.description.sourcetitleIEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
dc.description.volume34
dc.description.issue1
dc.description.page589-597
dc.description.codenITSCF
dc.identifier.isiut000188464600051
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