Diagnosis of uncertain nonlinear systems using interval kernel principal components analysis: Application to a weather station
- DOI
- 10.1016/j.isatra.2018.09.010
- Published
- 2018-12
- Container
- ISA Transactions
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.isatra.2018.09.010,
title = {Diagnosis of uncertain nonlinear systems using interval kernel principal components analysis: Application to a weather station},
author = {Chouaib Chakour and Abdelhafid Benyounes and Mahmoud Boudiaf},
year = {2018},
journal = {ISA Transactions},
doi = {10.1016/j.isatra.2018.09.010},
url = {https://doi.org/10.1016/j.isatra.2018.09.010}
}RIS
TY - JOUR TI - Diagnosis of uncertain nonlinear systems using interval kernel principal components analysis: Application to a weather station AU - Chouaib Chakour AU - Abdelhafid Benyounes AU - Mahmoud Boudiaf PY - 2018 JO - ISA Transactions DO - 10.1016/j.isatra.2018.09.010 UR - https://doi.org/10.1016/j.isatra.2018.09.010 ER -
APA
Chakour, C., Benyounes, A., & Boudiaf, M. (2018). Diagnosis of uncertain nonlinear systems using interval kernel principal components analysis: Application to a weather station. ISA Transactions. https://doi.org/10.1016/j.isatra.2018.09.010
Source records
- crossref · retrieved 2026-09-25T06:37:03.583Z