Please use this identifier to cite or link to this item:
https://doi.org/10.1016/S0005-1098(02)00014-6
DC Field | Value | |
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dc.title | Necessary and sufficient condition for convergence of iterative learning algorithm | |
dc.contributor.author | Huang, S.N. | |
dc.contributor.author | Tan, K.K. | |
dc.contributor.author | Lee, T.H. | |
dc.date.accessioned | 2014-06-17T02:58:28Z | |
dc.date.available | 2014-06-17T02:58:28Z | |
dc.date.issued | 2002-07 | |
dc.identifier.citation | Huang, S.N., Tan, K.K., Lee, T.H. (2002-07). Necessary and sufficient condition for convergence of iterative learning algorithm. Automatica 38 (7) : 1257-1260. ScholarBank@NUS Repository. https://doi.org/10.1016/S0005-1098(02)00014-6 | |
dc.identifier.issn | 00051098 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/56774 | |
dc.description.abstract | This correspondence is concerned with an iterative learning algorithm for MIMO linear time-varying systems. We provide a necessary and sufficient condition for the existence of a convergent algorithm. The result extends the main result in Saab (IEEE Trans. Automat. Control 40(6) (1995) 1138). © 2002 Published By Elsevier Science Ltd. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/S0005-1098(02)00014-6 | |
dc.source | Scopus | |
dc.subject | Iterative learning control | |
dc.subject | Linear time-varying systems | |
dc.subject | MIMO control | |
dc.type | Article | |
dc.contributor.department | ELECTRICAL & COMPUTER ENGINEERING | |
dc.description.doi | 10.1016/S0005-1098(02)00014-6 | |
dc.description.sourcetitle | Automatica | |
dc.description.volume | 38 | |
dc.description.issue | 7 | |
dc.description.page | 1257-1260 | |
dc.description.coden | ATCAA | |
dc.identifier.isiut | 000176366800021 | |
Appears in Collections: | Staff Publications |
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