article · International Journal of Control · 1997
A robust high-order P-type iterative learning controller using current iteration tracking error
YangQuan Chen, Changyun Wen, Mingxuan Sun
Cited by 84Abstract and details only
Abstract
A high-order P-type updating law, in which the current iteration tracking error (CITE) is employed, is proposed for iterative learning control (ILC ) of a class of uncertain nonlinear repetitive systems. Uniform boundedness of the tracking error is established in the presence of uncertainty, disturbance and initialization error. The bound and the ILC convergence rate can be adjusted by tuning the learning gain of the CITE.
Cite this paper
Chen, Y., Wen, C., & Sun, M. (1997). A robust high-order P-type iterative learning controller using current iteration tracking error. International Journal of Control, 68(2), 331–342. https://doi.org/10.1080/002071797223640
Chen, YangQuan, et al. “A robust high-order P-type iterative learning controller using current iteration tracking error.” International Journal of Control, vol. 68, no. 2, 1997, pp. 331–42, https://doi.org/10.1080/002071797223640.
Chen, YangQuan, Changyun Wen, and Mingxuan Sun. 1997. “A robust high-order P-type iterative learning controller using current iteration tracking error.” International Journal of Control 68 (2): 331–42. https://doi.org/10.1080/002071797223640.
Chen, Y., Wen, C. and Sun, M. (1997) ‘A robust high-order P-type iterative learning controller using current iteration tracking error’, International Journal of Control, 68(2), pp. 331–342. Available at: https://doi.org/10.1080/002071797223640.
@article{chen1997robust,
title = {{A robust high-order P-type iterative learning controller using current iteration tracking error}},
author = {Chen, YangQuan and Wen, Changyun and Sun, Mingxuan},
journal = {International Journal of Control},
volume = {68},
number = {2},
pages = {331--342},
year = {1997},
doi = {10.1080/002071797223640}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.