Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Mohammed Belkheiri"'
Publikováno v:
Journal of Engineering Science and Technology Review, Vol 8, Iss 2, Pp 215-224 (2014)
The main objective of this paper is to design an adaptive output feedback control for a class of uncertain nonlinear systems using only one Single-Hidden-Layer (SHL) Neural Networks (NN) in order to eliminate the unstructured uncertainties. The app
Externí odkaz:
https://doaj.org/article/7d86212381e24ab981c62b1cd358bb3c
Publikováno v:
2022 19th International Multi-Conference on Systems, Signals & Devices (SSD).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42dcc74f654d3140b640e894f034733d
https://doi.org/10.1109/ssd54932.2022.9955792
https://doi.org/10.1109/ssd54932.2022.9955792
Publikováno v:
IEEE Systems Journal. 14:2825-2836
In this article, a neural sliding-mode linearization controller is proposed to regulate the generated active and reactive power for each distributed energy resource in a microgrid. The developed controller is based on recurrent high-order neural netw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71f13041aeeaa16eadea237cf592242d
https://doi.org/10.1109/jsyst.2019.2947840
https://doi.org/10.1109/jsyst.2019.2947840
An Efficient Salp Swarm Algorithm for a PV Global Maximum Power Point Tracking Under Partial Shading
Publikováno v:
Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities ISBN: 9783030920371
Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities
Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9fe510b0b93af34dab42639ef32529fa
https://doi.org/10.1007/978-3-030-92038-8_14
https://doi.org/10.1007/978-3-030-92038-8_14
Publikováno v:
Electric Power Components and Systems. 48:105-116
Wind energy has many advantages, because it does not pollute and is an inexhaustible source of energy. In this paper, we study the dynamical behavior of the Horizontal Axis Wind Turbine (HAWT) with...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b4798872674d0a751c46a5bfb6d27a7
https://doi.org/10.1080/15325008.2020.1758836
https://doi.org/10.1080/15325008.2020.1758836
Publikováno v:
Instrumentation Mesure Métrologie. 18:337-342
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c1832115bd7744da280fdd7f2f56a58
https://doi.org/10.18280/i2m.180402
https://doi.org/10.18280/i2m.180402
Publikováno v:
Electric Power Systems Research. 173:29-37
Many theoretical and experimental studies have been performed to optimize the maintenance times of outdoor insulators. But most of the proposed methods are both time consuming and difficult to apply in practice and also they rely mainly on pollution
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1bd17dcada2cde82ba5c05c56a50f21a
https://doi.org/10.1016/j.epsr.2019.03.010
https://doi.org/10.1016/j.epsr.2019.03.010
Publikováno v:
IET Image Processing. 13:1540-1549
This work presents supervised classification algorithms based on information fusion for textured-images segmentation. Gabor features are efficient in finding class boundaries, whereas grey-Level co-occurrence matrix features are favourable in the are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9a18f1cd6974855f57d3cf9491daa25
https://doi.org/10.1049/iet-ipr.2018.6256
https://doi.org/10.1049/iet-ipr.2018.6256
Publikováno v:
Control Engineering Practice. 83:151-164
This paper proposes a Neural Input–Output Feedback Linearization (N-IOFL) controller for a Doubly Fed Induction Generator (DFIG) prototype connected to the grid. Under unbalanced grid voltages, the existing control strategies need to be modified, b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b6da8ef8b84b30465312f53c4bfbc86
https://doi.org/10.1016/j.conengprac.2018.10.021
https://doi.org/10.1016/j.conengprac.2018.10.021
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811564024
In the present research we have used wavelet transform and Gabor filters to extract texture features in order to classify textured-images. Gabor features are efficient in finding class boundaries, whereas the wavelets can represent textures at differ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6badb1b2dc4ff23b0e62e63558b69d0
https://doi.org/10.1007/978-981-15-6403-1_70
https://doi.org/10.1007/978-981-15-6403-1_70