Please use this identifier to cite or link to this item: https://doi.org/10.1155/2012/705474
Title: Iterative learning control for remote control systems with communication delay and data dropout
Authors: Liu, C.
Xu, J. 
Wu, J.
Issue Date: 2012
Citation: Liu, C., Xu, J., Wu, J. (2012). Iterative learning control for remote control systems with communication delay and data dropout. Mathematical Problems in Engineering 2012 : -. ScholarBank@NUS Repository. https://doi.org/10.1155/2012/705474
Abstract: Iterative learning control (ILC) is applied to remote control systems in which communication channels from the plant to the controller are subject to random data dropout and communication delay. Through analysis, it is shown that ILC can achieve asymptotical convergence along the iteration axis, as far as the probabilities of the data dropout and communication delay are known a priori. Owing to the essence of feedforward-based control ILC can perform trajectory-tracking tasks while both the data-dropout and the one-step delay phenomena are taken into consideration. Theoretical analysis and simulations validate the effectiveness of the ILC algorithm for network-based control tasks. Copyright © 2012 Chunping Liu et al.
Source Title: Mathematical Problems in Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/82588
ISSN: 1024123X
DOI: 10.1155/2012/705474
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