Please use this identifier to cite or link to this item:
|Title:||A discrete-time iterative learning algorithm for linear time-varying systems||Authors:||Tan, K.K.
|Keywords:||Iterative learning control
Linear discrete systems
|Issue Date:||Apr-2003||Citation:||Tan, 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||Abstract:||In 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.||Source Title:||Engineering Applications of Artificial Intelligence||URI:||http://scholarbank.nus.edu.sg/handle/10635/54078||ISSN:||09521976||DOI:||10.1016/S0952-1976(03)00030-7|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Jul 22, 2019
WEB OF SCIENCETM
checked on Jul 15, 2019
checked on Jul 21, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.