article · 2010
Reference model iterative learning control for linear systems
Cited by 13Abstract and details only
Abstract
This paper presents an iterative learning control D-type for linear system to follow a reference model (also called desired system). This desired system doesn't have dependence with the model of the real system. In addition, the initial states of the two systems must not be necessarily equal. The λ-norm is adopted as the topological measure in our proof of the asymptotic stability of this control scheme, over the whole finite time-interval, when the iteration number tends to infinity. Simulation results are presented to illustrate the effectiveness of the proposed control scheme.
Cite this paper
Bouakrif, F. (2010). Reference model iterative learning control for linear systems. https://doi.org/10.1109/med.2010.5547814
Bouakrif, Farah. “Reference model iterative learning control for linear systems.” 2010, pp. 1637–42, https://doi.org/10.1109/med.2010.5547814.
Bouakrif, Farah. 2010. “Reference model iterative learning control for linear systems.” https://doi.org/10.1109/med.2010.5547814.
Bouakrif, F. (2010) ‘Reference model iterative learning control for linear systems’. Available at: https://doi.org/10.1109/med.2010.5547814.
@article{bouakrif2010reference,
title = {{Reference model iterative learning control for linear systems}},
author = {Bouakrif, Farah},
pages = {1637--1642},
year = {2010},
doi = {10.1109/med.2010.5547814}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.