Please use this identifier to cite or link to this item:
|Title:||On robust modifications for repetitive learning control|
|Citation:||Yan, R., Xu, J.-X. (2009). On robust modifications for repetitive learning control. Proceedings of the IEEE Conference on Decision and Control : 440-445. ScholarBank@NUS Repository. https://doi.org/10.1109/CDC.2009.5399702|
|Abstract:||In this paper, we develop two algorithms to robustify repetitive learning control (RLC), which deals with periodic tracking tasks for nonlinear dynamical systems with non-parametric uncertainties. The first robustification algorithm is to apply a projection operator to the control input signals directly. The second robustification algorithm is to add a damping term to the learning law. Both algorithms ensure the boundedness of the learning signals. The effectiveness of the proposed robust algorithms are verified through theoretical analysis and validated through a numerical example. ©2009 IEEE.|
|Source Title:||Proceedings of the IEEE Conference on Decision and Control|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Jul 11, 2018
WEB OF SCIENCETM
checked on Jun 4, 2018
checked on Mar 12, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.