Iterative learning radial basis function neural networks control for unknown multi input multi output nonlinear systems with unknown control direction
- DOI
- 10.1177/0142331219826659
- Published
- 2019-02-19
- Container
- Transactions of the Institute of Measurement and Control
- Publisher
- SAGE Publications
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1177/0142331219826659,
title = {Iterative learning radial basis function neural networks control for unknown multi input multi output nonlinear systems with unknown control direction},
author = {Tarek Bensidhoum and Farah Bouakrif and Michel Zasadzinski},
year = {2019},
journal = {Transactions of the Institute of Measurement and Control},
doi = {10.1177/0142331219826659},
url = {https://doi.org/10.1177/0142331219826659}
}RIS
TY - JOUR TI - Iterative learning radial basis function neural networks control for unknown multi input multi output nonlinear systems with unknown control direction AU - Tarek Bensidhoum AU - Farah Bouakrif AU - Michel Zasadzinski PY - 2019 JO - Transactions of the Institute of Measurement and Control DO - 10.1177/0142331219826659 UR - https://doi.org/10.1177/0142331219826659 ER -
APA
Bensidhoum, T., Bouakrif, F., & Zasadzinski, M. (2019). Iterative learning radial basis function neural networks control for unknown multi input multi output nonlinear systems with unknown control direction. Transactions of the Institute of Measurement and Control. https://doi.org/10.1177/0142331219826659
Source records
- crossref · retrieved 2026-11-10T11:00:47.188Z