Please use this identifier to cite or link to this item: https://doi.org/10.1016/S0952-1976(03)00030-7
Title: A discrete-time iterative learning algorithm for linear time-varying systems
Authors: Tan, K.K. 
Huang, S.N. 
Lee, T.H. 
Lim, S.Y.
Keywords: Iterative learning control
Linear discrete systems
Repetitive systems
Uncertain systems
Issue Date: Apr-2003
Source: 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
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