Please use this identifier to cite or link to this item: https://doi.org/10.1243/095965102320005373
Title: Iterative learning algorithm with a quadratic criterion for linear time-varying systems
Authors: Huang, S.N. 
Tan, K.K. 
Lee, T.H. 
Keywords: Iterative learning control
Linear discrete systems
Repetitive systems
Uncertain systems
Issue Date: 2002
Citation: Huang, S.N., Tan, K.K., Lee, T.H. (2002). Iterative learning algorithm with a quadratic criterion for linear time-varying systems. Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering 216 (3) : 309-316. ScholarBank@NUS Repository. https://doi.org/10.1243/095965102320005373
Abstract: A novel iterative learning controller for linear time-varying systems is developed. The learning law is derived on the basis of a quadratic criterion. This control scheme does not include package information. The advantage of the proposed learning law is that the convergence is guaranteed without the need for empirical choice of parameters. Furthermore, the tracking error on the final iteration will be a class K function of the bounds on the uncertainties. Finally, simulation results reveal that the proposed control has a good setpoint tracking performance.
Source Title: Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/56422
ISSN: 09596518
DOI: 10.1243/095965102320005373
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