Iterative learning control design based on composite energy function with input saturation

Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.automatica.2004.01.029

Title:	Iterative learning control design based on composite energy function with input saturation
Authors:	Xu, J.-X. Tan, Y. Lee, T.-H.
Keywords:	Composite energy function Input saturation Iterative learning control
Issue Date:	Aug-2004
Citation:	Xu, J.-X., Tan, Y., Lee, T.-H. (2004-08). Iterative learning control design based on composite energy function with input saturation. Automatica 40 (8) : 1371-1377. ScholarBank@NUS Repository. https://doi.org/10.1016/j.automatica.2004.01.029
Abstract:	In this work, an iterative learning control scheme is designed for a class of nonlinear uncertain systems with input saturation. The analysis of convergence in the iteration domain is based on composite energy function, which consists of both input and state information along the time and iteration axes. Through rigorous analysis, the learning convergence in the iteration domain can be guaranteed under the input saturation, provided the desired trajectory is realizable within the saturation bound. © 2004 Elsevier Ltd. All rights reserved.
Source Title:	Automatica
URI:	http://scholarbank.nus.edu.sg/handle/10635/56424
ISSN:	00051098
DOI:	10.1016/j.automatica.2004.01.029
Appears in Collections:	Staff Publications

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