Necessary and sufficient condition for convergence of iterative learning algorithm

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

There are no files associated with this item.

Check