Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Vincent A. Akpan"'
Publikováno v:
International Letters of Chemistry, Physics and Astronomy. 59:106-114
Quantum Monte Carlo (QMC) calculations of the electric dipole moment and ground-state total energy of hydrazine (N2H4) molecule using CASINO-code have been carried-out by employing the VMC and DMC techniques. The optimization of the Slater-Jastrow tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a0a7d1a8980b5dde5025975518832a1
https://doi.org/10.56431/p-85120f
https://doi.org/10.56431/p-85120f
Autor:
Vincent A. Akpan
This dissertation deals with the development of two new neural network-based model identification algorithms and two new model predictive control (MPC) algorithms which are combined to form model-based adaptive control strategies. Also, two new compu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52b32c921d5607251f1c755cf489aa62
Autor:
Vincent A. Akpan, Theophilos Ewetumo
Publikováno v:
Global Journal of Pure and Applied Sciences; Vol 16, No 1 (2010)
In this work, detailed techniques for the design and construction of a low cost automatic inverter system capable of converting 24Vdc to 220Vac 60Hz with a power handling capacity of 2 kVA have been presented with emphasis on the step-up transformer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::994709d7a7b45e48e223827513359860
https://www.ajol.info/index.php/gjpas/article/view/62823
https://www.ajol.info/index.php/gjpas/article/view/62823
Autor:
George Hassapis, Vincent A. Akpan
Publikováno v:
ISA transactions. 50(2)
This paper presents two new adaptive model predictive control algorithms, both consisting of an on-line process identification part and a predictive control part. Both parts are executed at each sampling instant. The predictive control part of the fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::97f0d2a0289a1b3c501fdf23e109444e
https://pubmed.ncbi.nlm.nih.gov/21281932
https://pubmed.ncbi.nlm.nih.gov/21281932
Autor:
George Hassapis, Vincent A. Akpan
Publikováno v:
Proceedings of the 2010 American Control Conference.
In many adaptive control applications an accurate model identification process has to be performed in almost every timing instant in which new plant data are monitored. Such an accurate identification process can be based on well trained recurrent ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c36fc1e3d3adb8a74627650400ff76e4
https://doi.org/10.1109/acc.2010.5530935
https://doi.org/10.1109/acc.2010.5530935
Publikováno v:
Proceedings of the 2010 American Control Conference.
This paper presents a new neural network-based nonlinear adaptive model predictive control algorithm and its implementation over a service-oriented computer network. The computer network is based on the device profile for web services. At each sampli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d729100c75e7f50f028205249f23291e
https://doi.org/10.1109/acc.2010.5530982
https://doi.org/10.1109/acc.2010.5530982
Publikováno v:
ETFA
This paper proposes an advanced two-part middleware solution to the problem of integrating resource constrained devices located in the field of factory automation, such as Wireless Sensor Networks, into an enterprise information system. These network
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62ce9f41d7b69d4c42316f6bb9dea68d
https://doi.org/10.1109/etfa.2009.5347054
https://doi.org/10.1109/etfa.2009.5347054
Autor:
George Hassapis, Vincent A. Akpan
Publikováno v:
2009 17th Mediterranean Conference on Control and Automation.
This paper presents a new adaptive predictive control algorithm which consists of an on-line process identification part and a predictive control strategy which is updated every time a process model change is identified. The identification method is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1bd85ec3388729fa071fb29a0ca0c1a5
https://doi.org/10.1109/med.2009.5164515
https://doi.org/10.1109/med.2009.5164515