Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Abdelhadi Radouane"'
Publikováno v:
Indonesian Journal of Electrical Engineering and Informatics (IJEEI). 11
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::acb9e5f71c4257acf3c8706f3726f7a2
https://doi.org/10.52549/ijeei.v11i1.4224
https://doi.org/10.52549/ijeei.v11i1.4224
Publikováno v:
International Journal of Innovative Technology and Exploring Engineering. 10:19-30
The problem of identifying unstructured nonlinear systems is generally addressed on the basis of multi-model representations involving several linear local models. In the present work, local models are combined to get a global representation using in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f4273df47a4ee7434ff08d0688f17fe5
https://doi.org/10.35940/ijitee.i9290.0710921
https://doi.org/10.35940/ijitee.i9290.0710921
Publikováno v:
2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e814b5eb8a8237dc8ecc92d066c09ef
https://doi.org/10.1109/iraset52964.2022.9737889
https://doi.org/10.1109/iraset52964.2022.9737889
Publikováno v:
Digital Technologies and Applications ISBN: 9783031019418
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bda0baaab33eeece4450263e6eb2f207
https://doi.org/10.1007/978-3-031-01942-5_59
https://doi.org/10.1007/978-3-031-01942-5_59
Autor:
Azeddine Mouhsen, Abdelhadi Radouane
Publikováno v:
International Journal of Innovative Technology and Exploring Engineering. 8:3739-3746
The autonomous photovoltaic system requires a battery for storage of energy, for consumption during the night and days with low irradiation. This article presents the design and control of the autonomous PV system with a storage battery and a single-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8fc1852d05213bb031cb76d17750f013
https://doi.org/10.35940/ijitee.k2061.0981119
https://doi.org/10.35940/ijitee.k2061.0981119
Publikováno v:
2020 IEEE 13th International Colloquium of Logistics and Supply Chain Management (LOGISTIQUA).
The objective of this paper is to study static, modelling and analysis of the three-level DC-DC Boost converter module (DC-DC TLBCM). This system has a nonlinear behavior due to its operation in switching mode. The converter state space averaging mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c19e57713b69ae5e41ce72667e704947
https://doi.org/10.1109/logistiqua49782.2020.9353920
https://doi.org/10.1109/logistiqua49782.2020.9353920
Publikováno v:
Automatica. 50:768-783
Wiener systems identification is studied in the presence of possibly infinite-order linear dynamics and memory nonlinear operators of backlash and backlash-inverse types. The latter is laterally bordered with polynomial lines of arbitrary-shape. It t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50ee193ebb75b777c0d0799d7a981fb8
https://doi.org/10.1016/j.automatica.2013.12.030
https://doi.org/10.1016/j.automatica.2013.12.030
Publikováno v:
IFAC Proceedings Volumes. 47:3214-3219
The problem Wiener systems identification is addressed in presence of hysteresis nonlinearities, presently described by the Bouc-Wen model. The latter is nonlinear differential equation involving unknown parameters, some of which coming in nonlinearl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a08b22003443029e3dd678cbbb103667
https://doi.org/10.3182/20140824-6-za-1003.00738
https://doi.org/10.3182/20140824-6-za-1003.00738
Publikováno v:
ALCOSP
A novel geometric method for local linear model (LLM) identification of nonlinear systems involving clustering and principal component analysis (PCA) is developed. This is done in three main steps: The estimation data product set is first clustered i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::636e29b2b6486b30a5a1ce8360f2653a
https://doi.org/10.3182/20130703-3-fr-4038.00109
https://doi.org/10.3182/20130703-3-fr-4038.00109
Publikováno v:
ALCOSP
In this work an unsupervised fuzzy learning method for the identification of nonlinear dynamical systems is designed. Accordingly, the learning process is featured by an incremental fuzzy clustering algorithm involving, in addition to the usual Eucli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3d28d4a790112117bad0f5dc25ef710
https://doi.org/10.3182/20130703-3-fr-4038.00064
https://doi.org/10.3182/20130703-3-fr-4038.00064