Please use this identifier to cite or link to this item: https://doi.org/10.1016/S0005-1098(02)00014-6
Title: Necessary and sufficient condition for convergence of iterative learning algorithm
Authors: Huang, S.N. 
Tan, K.K. 
Lee, T.H. 
Keywords: Iterative learning control
Linear time-varying systems
MIMO control
Issue Date: Jul-2002
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
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.
Source Title: Automatica
URI: http://scholarbank.nus.edu.sg/handle/10635/56774
ISSN: 00051098
DOI: 10.1016/S0005-1098(02)00014-6
Appears in Collections:Staff Publications

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