Zobrazeno 1 - 10
of 215
pro vyhledávání: '"Hassani, Messaoud"'
Publikováno v:
IEEE Access, Vol 10, Pp 3807-3813 (2022)
This paper proposes a functional observer for a bilinear singular systems with constant time delay present in both state and known input vectors. The considered system has transformed to an updated form in order to estimate both a state vector and an
Externí odkaz:
https://doaj.org/article/6357e1b7c8d344bf971ed0a835c8bea4
Recognizing the activities of daily living plays an important role in healthcare. It is necessary to use an adapted model to simulate the human behavior in a domestic space to monitor the patient harmonically and to intervene in the necessary time. I
Externí odkaz:
http://arxiv.org/abs/1603.03251
Autor:
Radhia Fezai, Kamaleldin Abodayeh, Majdi Mansouri, Abdelmalek Kouadri, Mohamed-Faouzi Harkat, Hazem Nounou, Mohamed Nounou, Hassani Messaoud
Publikováno v:
IEEE Access, Vol 8, Pp 78343-78353 (2020)
Kernel partial least squares (KPLS) models are widely used as nonlinear data-driven methods for faults detection (FD) in industrial processes. However, KPLS models lead to irrelevant performance over long operation periods due to process parameters c
Externí odkaz:
https://doaj.org/article/caa9cd029c7f4c5184986f106d165c91
Autor:
Sondes Gharsellaoui, Majdi Mansouri, Mohamed Trabelsi, Mohamed-Faouzi Harkat, Shady S. Refaat, Hassani Messaoud
Publikováno v:
IEEE Access, Vol 8, Pp 171892-171902 (2020)
The operation of heating, ventilation, and air conditioning (HVAC) systems is usually disturbed by many uncertainties such as measurement errors, noise, as well as temperature. Thus, this paper proposes a new multiscale interval principal component a
Externí odkaz:
https://doaj.org/article/ba8841a51e1f4bbfad61aa85b9c2bb4e
This paper introduces a new design for a H ∞ filter for nonlinear singular systems with bounded disturbance in the time domain, the frequency domain based on both time and frequency domain.In addition, we present results comparison between three fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bcf8e2e2245133ae5127a1aebc952db5
https://doi.org/10.22541/au.167990044.44084456/v1
https://doi.org/10.22541/au.167990044.44084456/v1
Publikováno v:
Energies, Vol 13, Iss 3, p 609 (2020)
Fault Detection and Isolation (FDI) in Heating, Ventilation, and Air Conditioning (HVAC) systems is an important approach to guarantee the human safety of these systems. Therefore, the implementation of a FDI framework is required to reduce the energ
Externí odkaz:
https://doaj.org/article/600ce6ba6137461b8efc424a67ccba94
Publikováno v:
Mathematics and Computers in Simulation. 190:921-945
This paper proposes a new robust Discrete-Time Sliding Mode Control ( dt-smc ) scheme for linear discrete-time delay system. The delays, affecting the state and the input, are assumed to be known, time-varying and bounded. The considered system is al
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3390bc726bb9611352314429ade3cd70
https://doi.org/10.1016/j.matcom.2021.06.009
https://doi.org/10.1016/j.matcom.2021.06.009
Publikováno v:
International Journal of Service Science, Management, Engineering, and Technology. 12:132-153
This article proposes a novel robust adaptive sliding control mode law for time unknown varying delay in state uncertain systems. In this work, the upper limit of disruption and uncertainty is assumed to be unknown. The model is adjusted so that the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58b55ce3ed73d7360ede503f2edb088d
https://doi.org/10.4018/ijssmet.2021030108
https://doi.org/10.4018/ijssmet.2021030108
Autor:
Radhia Fezai, Kamaleldin Abodayeh, Mohamed Nounou, Majdi Mansouri, Hassani Messaoud, Hazem Nounou
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 38:4829-4843
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61c54133d3a33581d915973bcb5d019c
https://doi.org/10.3233/jifs-191525
https://doi.org/10.3233/jifs-191525
Autor:
Hazem Nounou, Abdelmalek Kouadri, Hassani Messaoud, Radhia Fezai, Majdi Mansouri, Mohamed Nounou, Kamaleldin Abodayeh, Mohamed-Faouzi Harkat
Publikováno v:
IEEE Access, Vol 8, Pp 78343-78353 (2020)
Kernel partial least squares (KPLS) models are widely used as nonlinear data-driven methods for faults detection (FD) in industrial processes. However, KPLS models lead to irrelevant performance over long operation periods due to process parameters c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2e0c15450bf17ed15037bc4fe044893
https://ieeexplore.ieee.org/document/9076626/
https://ieeexplore.ieee.org/document/9076626/