Zobrazeno 1 - 10
of 85
pro vyhledávání: '"Dan Stefanoiu"'
Publikováno v:
Mathematics, Vol 12, Iss 14, p 2252 (2024)
The identification (and control) of nonlinear systems is one of the most important and actual research directions. Moreover, many systems are multivariable. Different from linear system identification (where only a few classes of models are available
Externí odkaz:
https://doaj.org/article/2c30f301ad894bc185d4a9f23cde9df4
Autor:
Dan Stefanoiu, Janetta Culita
Publikováno v:
Mathematics, Vol 12, Iss 5, p 767 (2024)
Among the invertible orthogonal transforms employed to perform the analysis and synthesis of 2D signals (especially images), the ones defined by means of John von Neumann’s cardinal sinus are extremely interesting. Their definitions rely on transfo
Externí odkaz:
https://doaj.org/article/a683b5fcab9c43878335a7ad1d0555f9
Autor:
Dan Stefanoiu, Janetta Culita
Publikováno v:
Mathematics, Vol 11, Iss 12, p 2607 (2023)
John von Neumann (JvN) was one of the greatest scientists and minds of the 20th century. His research encompassed a large variety of topics (especially from mathematics), and the results he obtained essentially contributed to the progress of science
Externí odkaz:
https://doaj.org/article/749bd6ed34cb4dafb2647e0210357a1a
Autor:
Mourad Kchaou, Mohamed Amine Regaieg, Houssem Jerbi, Rabeh Abbassi, Dan Stefanoiu, Dumitru Popescu
Publikováno v:
Actuators, Vol 12, Iss 1, p 30 (2023)
Applied in many fields, nonlinear systems involving delay and algebraic equations are referred to as singular systems. These systems remain challenging due to saturation constraints that affect actuators and cause harm to their operation. Furthermore
Externí odkaz:
https://doaj.org/article/8838513e944c4d14b685699fb51b2860
Publikováno v:
Mathematics, Vol 10, Iss 11, p 1872 (2022)
This paper examines the fault-tolerant control problem for discrete-time descriptor systems that are susceptible to intermittent actuator failures, nonlinear sensor data, and probability-based missing data. The discrete-time non-homogeneous Markov ch
Externí odkaz:
https://doaj.org/article/e52d807a6a4c4a7bb7063f52b359b0e1
Autor:
Dan Stefanoiu, Janetta Culita
Publikováno v:
Sensors, Vol 20, Iss 18, p 5038 (2020)
This article introduces the spline approximation concept, in the context of system identification, aiming to obtain useful autoregressive models of reduced order. Models with a small number of poles are extremely useful in real time control applicati
Externí odkaz:
https://doaj.org/article/6e5dd24a14694683966e62621795b18b
Autor:
Culita, Dan Stefanoiu, Janetta
Publikováno v:
Mathematics; Volume 11; Issue 12; Pages: 2607
John von Neumann (JvN) was one of the greatest scientists and minds of the 20th century. His research encompassed a large variety of topics (especially from mathematics), and the results he obtained essentially contributed to the progress of science
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::3a79dae435fd46897f5e818e3fa098b5
Publikováno v:
ICSTCC
The paper presents the application of metaheuristic optimization techniques in identification and control of ASTANK2 installation. The optimal MIMO identification model is found by solving the problem of Signal-to-Noise Ratio maximization, with the h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9bfb85a8bef0bda8b981e046e1bbc039
https://doi.org/10.1109/icstcc52150.2021.9607074
https://doi.org/10.1109/icstcc52150.2021.9607074
Autor:
Janetta Culita, Dan Stefanoiu
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 5038, p 5038 (2020)
Sensors
Volume 20
Issue 18
Sensors, Vol 20, Iss 5038, p 5038 (2020)
Sensors
Volume 20
Issue 18
This article introduces the spline approximation concept, in the context of system identification, aiming to obtain useful autoregressive models of reduced order. Models with a small number of poles are extremely useful in real time control applicati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb5923da02852b4763ce9871525fd5c0
https://pubmed.ncbi.nlm.nih.gov/32899822
https://pubmed.ncbi.nlm.nih.gov/32899822
Publikováno v:
Soft Computing. 23:8131-8157
This paper addresses the problem of fault diagnosis performed on a mechanical system, based on acquired vibrations from bearings. In this aim, an optimization algorithm resulted from the alliance between a time–frequency–scale signal processing m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d19d0c0ca1f4f35def42cf9a4e27a33
https://doi.org/10.1007/s00500-018-3450-0
https://doi.org/10.1007/s00500-018-3450-0