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Please use this identifier to cite or link to this item: https://doi.org/10.1016/S0952-1976(03)00030-7
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dc.titleA discrete-time iterative learning algorithm for linear time-varying systems
dc.contributor.authorTan, K.K.
dc.contributor.authorHuang, S.N.
dc.contributor.authorLee, T.H.
dc.contributor.authorLim, S.Y.
dc.date.accessioned2014-06-16T09:26:40Z
dc.date.available2014-06-16T09:26:40Z
dc.date.issued2003-04
dc.identifier.citationTan, K.K., Huang, S.N., Lee, T.H., Lim, S.Y. (2003-04). A discrete-time iterative learning algorithm for linear time-varying systems. Engineering Applications of Artificial Intelligence 16 (3) : 185-190. ScholarBank@NUS Repository. https://doi.org/10.1016/S0952-1976(03)00030-7
dc.identifier.issn09521976
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/54078
dc.description.abstractIn this paper, an iterative learning algorithm (ILC) is presented for a MIMO linear time-varying system. We consider the convergence of the algorithm. A necessary and sufficient condition for the existence of convergent algorithm is stated. Then, we prove that the same condition is sufficient for the robustness of the proposed learning algorithm against state disturbance, output measurement noise, and reinitialization error. Finally, a simulation example is given to illustrate the results. © 2003 Elsevier Ltd. All rights reserved.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/S0952-1976(03)00030-7
dc.sourceScopus
dc.subjectIterative learning control
dc.subjectLinear discrete systems
dc.subjectRepetitive systems
dc.subjectUncertain systems
dc.typeArticle
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1016/S0952-1976(03)00030-7
dc.description.sourcetitleEngineering Applications of Artificial Intelligence
dc.description.volume16
dc.description.issue3
dc.description.page185-190
dc.description.codenEAAIE
dc.identifier.isiut000185275700003
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