Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICCA.2009.5410543
Title: A dual-loop iterative learning control for nonlinear systems with hysteresis input uncertainty
Authors: Huang, D.
Tan, Y.
Xu, J.-X. 
Keywords: Composite energy function
Dual-loop iterative learning control
Hysteresis
Input uncertainty
Issue Date: 2009
Source: Huang, D., Tan, Y., Xu, J.-X. (2009). A dual-loop iterative learning control for nonlinear systems with hysteresis input uncertainty. 2009 IEEE International Conference on Control and Automation, ICCA 2009 : 1116-1121. ScholarBank@NUS Repository. https://doi.org/10.1109/ICCA.2009.5410543
Abstract: In this work, a dual-loop iterative learning control (ILC) scheme is designed for a class of nonlinear systems with hysteresis input uncertainty. The two ILC loops are applied to the nominal part and the hysteresis part respectively, to learn their unknown dynamics. Based on the convergence analysis for each single loop, a composite energy function method is then adopted to prove the learning convergence of the dual-loop system in iteration domain. One illustrative example shows that the proposed dual learning control scheme can work well under hysteresis input uncertainty. ©2009 IEEE.
Source Title: 2009 IEEE International Conference on Control and Automation, ICCA 2009
URI: http://scholarbank.nus.edu.sg/handle/10635/68787
ISBN: 9781424447060
DOI: 10.1109/ICCA.2009.5410543
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