Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Atef Khedher"'
Publikováno v:
2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74500c71b6064a32b59fe6c7b1d55727
https://doi.org/10.1109/ic_aset53395.2022.9765893
https://doi.org/10.1109/ic_aset53395.2022.9765893
Autor:
Atef khedher, Kamel BenOthman
This work is interested in studying discrete event systems modeled by time interval Petri nets. Indeed, a new state model describing the time evolution of the system is proposed. The simulation of the proposed state model gives the upper and lower bo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29b246271bb35d00b4f87678d45c8c9b
https://doi.org/10.21203/rs.3.rs-1263538/v1
https://doi.org/10.21203/rs.3.rs-1263538/v1
Publikováno v:
Studies in Systems, Decision and Control ISBN: 9783030927301
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9877a1ca1f628b95916e759a41a76c8
https://doi.org/10.1007/978-3-030-92731-8_7
https://doi.org/10.1007/978-3-030-92731-8_7
Publikováno v:
2021 International Conference on Control, Automation and Diagnosis (ICCAD).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90acb39060a2efc6ecec10e311b239fe
https://doi.org/10.1109/iccad52417.2021.9638771
https://doi.org/10.1109/iccad52417.2021.9638771
Autor:
Kamal BenOthman, Atef Khedher
Publikováno v:
Soft Computing. 24:4775-4789
In this paper, a particular state model allowing describing the system evolution in time is proposed. This state model contains two inequalities describing the evolution in time of the system state and input. The system simulation is based on the res
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f6c110299d54ae5e493f27e6a8e208f
https://doi.org/10.1007/s00500-019-04231-9
https://doi.org/10.1007/s00500-019-04231-9
Publikováno v:
SSD
This article deals with the tracking of states and faults for nonlinear systems modeled using the Takagi Sugeno approach. An artificial neural network with unknown inputs is used for the purpose of tracking the system state and faults affecting the s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc46b86f0a9776c565df28500ba6bc47
https://doi.org/10.1109/ssd52085.2021.9429397
https://doi.org/10.1109/ssd52085.2021.9429397
Publikováno v:
Mathematical Problems in Engineering, Vol 2021 (2021)
In this paper, the problem of fault estimation in systems described by Takagi–Sugeno fuzzy systems is studied. A proportional integral observer is conceived in order to reconstruct state and faults which can affect the studied system. Proportional
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04a8defca5e4641bb6875ca0462ec80e
Publikováno v:
Mathematical Problems in Engineering, Vol 2021 (2021)
This paper proposes a high-gain observer for a class of nonlinear fractional-order systems. Indeed, this approach is based on Caputo derivative to solve the estimation problem for nonlinear systems. The proposed high-gain observer is used to estimate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8de1d6cf555ae7ed9fef43e139bd9e17
https://doaj.org/article/03d28436ec344bf880ecf774cc92a4da
https://doaj.org/article/03d28436ec344bf880ecf774cc92a4da
Publikováno v:
2020 20th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA).
This paper deals with the state and fault estimation for non linear systems modeled using the Takagi Sugeno approach. An artificial neural network with unknown inputs is used in the objective of estimate state and faults affecting the system. Firstly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4018c3a58670846f06eca031f72fd9f6
https://doi.org/10.1109/sta50679.2020.9329322
https://doi.org/10.1109/sta50679.2020.9329322
Publikováno v:
International Journal of Systems Science: Operations & Logistics. 7:192-205
In this paper, we design a diagnostic technique for a partially observed labelled Petri net where the faults of the system are modelled by unobservable transitions. The fault detection and isolation uses an on-line count vector estimation associated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::720de28af437025e6742c6ac01c6d02b
https://doi.org/10.1080/23302674.2018.1554169
https://doi.org/10.1080/23302674.2018.1554169