Zobrazeno 1 - 10
of 301
pro vyhledávání: '"G. Vachtsevanos"'
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Recent Developments on Reliability, Maintenance and Safety.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::def91cf4a23babb6264bc3e07a5b5d68
https://doi.org/10.2495/qr2mse140981
https://doi.org/10.2495/qr2mse140981
Publikováno v:
Techniques in Knee Surgery. 2:125-136
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa94d64af74c0eb6ba644667e668d8d8
https://doi.org/10.1097/00132588-200306000-00008
https://doi.org/10.1097/00132588-200306000-00008
Autor:
Intaek Kim, G. Vachtsevanos
Publikováno v:
IEEE Robotics & Automation Magazine. 5:37-44
Recognizing and identifying overlapping or occluded objects is a problem typically encountered in a manufacturing setting. The resultant image distortion tends to limit the applicability of current recognition systems in that case. The proposed recog
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8fe1540a18b9f30e9d26705d0b31005f
https://doi.org/10.1109/100.728222
https://doi.org/10.1109/100.728222
Publikováno v:
FUZZ-IEEE
Multi-agent prognostic health and usage monitoring (Multi-PHUM) is proposed in the paper for use in fault diagnosis and prognosis. Georgia Tech has developed a Matlab simulation model of monopropellant propulsion for studying fault diagnosis. Here we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31c6616a4a90161747e3e21373c95165
https://doi.org/10.1109/fuzzy.2007.4295672
https://doi.org/10.1109/fuzzy.2007.4295672
Autor:
G. Vachtsevanos, S.S. Farinwata
Publikováno v:
Proceedings of 1995 American Control Conference - ACC'95.
An approximate method is formulated for analyzing the performance of a broad class of linear and nonlinear systems controlled using fuzzy logic. It is assumed that an approximate model of the nominal plant is available. Stability in the presence of s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0bbd4a0096e9e503d2c68ebc18fad48
https://doi.org/10.1109/acc.1995.531375
https://doi.org/10.1109/acc.1995.531375
Autor:
L. Wills, S. Kannan, S. Sander, M. Guler, B. Heck, J. V. R. Prasad, D. Schrage, G. Vachtsevanos
Publikováno v:
Software-Enabled Control: Information Technology for Dynamical Systems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17825a42bdf9f30dd76245a2ae9fa271
https://doi.org/10.1002/047172288x.ch5
https://doi.org/10.1002/047172288x.ch5
Autor:
G. Vachtsevanos, D.P. Schrage
Publikováno v:
Proceedings of the 1999 IEEE International Symposium on Computer Aided Control System Design (Cat. No.99TH8404).
Uninhabited aerial vehicles (UAVs) demands software architectures capable of distributed computing, plug-and-play of control algorithms, rapid real-time algorithm switching and online reconfiguration and customization of algorithms. An open control p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c93ec8b5ee9e1ef96bef8f7a6329852
https://doi.org/10.1109/cacsd.1999.808703
https://doi.org/10.1109/cacsd.1999.808703
Autor:
B.H. Wang, G. Vachtsevanos
Publikováno v:
[1992 Proceedings] IEEE International Conference on Fuzzy Systems.
A systematic methodology for the design of a learning fuzzy logic control system is presented. The basic design idea is an indirect control approach where selection of control parameters relies on the estimates of process parameters. The control law
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::306e9e83708a74f0b632f5ff13667138
https://doi.org/10.1109/fuzzy.1992.258632
https://doi.org/10.1109/fuzzy.1992.258632
Autor:
H. Kang, G. Vachtsevanos
Publikováno v:
[1992 Proceedings] IEEE International Conference on Fuzzy Systems.
A robust and reliable learning and reasoning mechanism is addressed based upon fuzzy set theory and fuzzy associative memories. The mechanism stores an initial knowledge base via approximate learning and utilizes this information for decision-making
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10e1fa7058b2bb87f497e57d7eae8e2a
https://doi.org/10.1109/fuzzy.1992.258701
https://doi.org/10.1109/fuzzy.1992.258701