Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Georgios Salavasidis"'
Publikováno v:
IEEE Access, Vol 11, Pp 67979-67986 (2023)
Machine learning-based methodologies have recently been adapted to solve control problems. The Neural Lyapunov Control (NLC) method is one such example. This approach combines Artificial Neural Networks (ANNs) with Satisfiability Modulo Theories (SMT
Externí odkaz:
https://doaj.org/article/8329f8a68f75446aa736bf6228b0cf3e
Autor:
Alexander B. Phillips, Thomas Prampart, Georgios Salavasidis, Richard Morrison, Matthew Kingsland, Daniel T. Roper, Robert Templeton, Miles Pebody, Maaten Furlong, Stephen D. McPhail, Catherine A. Harris
Publikováno v:
IEEE Journal of Oceanic Engineering. 46:1179-1191
Autosub Long Range 6000 is a 6000-m-rated autonomous underwater vehicle capable of 2- to 3-month-long deployments covering a range of up to 1800 km. This high endurance is achieved through a combination of the use of high energy-density lithium prima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6daf4ffa604769d4128f3aed48b8aa23
https://doi.org/10.1109/joe.2021.3058416
https://doi.org/10.1109/joe.2021.3058416
Autor:
Alexander B. Phillips, Robert Templeton, Daniel Roper, Richard Morrison, Miles Pebody, Philip M. Bagley, Rachel Marlow, Ed Chaney, James Burris, Alberto Consensi, Davide Fenucci, Francesco Fanelli, Achille Martin, Georgios Salavasidis, Owain Jones, Ashley Morris, Catherine A. Harris, Alvaro Lorenzo, Maaten Furlong
Publikováno v:
Ocean Engineering. 280:114626
Long Range Autonomous Underwater Vehicles (LRAUVs) offer the potential to monitor the ocean at higher spatial and temporal resolutions compared to conventional ship-based techniques. The multi-week to multi-month endurance of LRAUVs enables them to o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dedfdf174f3efdfc1f250339ccce5cdf
https://doi.org/10.1016/j.oceaneng.2023.114626
https://doi.org/10.1016/j.oceaneng.2023.114626
Autor:
Peng Wu, Catherine A. Harris, Georgios Salavasidis, Izzat Kamarudzaman, Alexander B. Phillips, Giles Thomas, Enrico Anderlini
Publikováno v:
OCEANS 2021: San Diego – Porto.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f2a019083164896b882247aaffa1964
https://doi.org/10.23919/oceans44145.2021.9705774
https://doi.org/10.23919/oceans44145.2021.9705774
Autor:
Andrea Munafo, Catherine A. Harris, Daniel T. Roper, Miles Pebody, Robert Templeton, Davide Fenucci, Eric Rogers, Stephen D. McPhail, E. Povl Abrahamsen, Georgios Salavasidis, Alexander B. Phillips, Thomas Prampart, Michael Smart
Deploying long-range Autonomous Underwater Vehicles (AUVs) mid-water column in the deep ocean is one of the most challenging applications for these submersibles. Without ex ternal support and speed over the ground measurements, Dead-Reckoning (DR) na
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::71caaeda75dc616f8565717eac8095b6
https://eprints.soton.ac.uk/445766/
https://eprints.soton.ac.uk/445766/
Autor:
Alexander B. Phillips, Georgios Salavasidis, Miles Pebody, Davide Fenucci, Andrea Munafo, Catherine A. Harris, Eric Rogers, Stephen D. McPhail
The desire to conduct research in the Arctic on an ever-larger spatiotemporal scale has led to the development of long-range autonomous underwater vehicles (AUVs), such as the Autosub Long-Range 1500 (ALR1500). While these platforms open up a world o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64d679b40f3efcfbab127a67b08f45bc
http://hdl.handle.net/11568/1124267
http://hdl.handle.net/11568/1124267
Autor:
Alexander B. Phillips, Alvaro Lorenzo, Georgios Salavasidis, Giles Thomas, Enrico Anderlini, Catherine A. Harris
Publikováno v:
2020 IEEE/OES Autonomous Underwater Vehicles Symposium (AUV)(50043).
Over the past five years, two of the Slocum underwater gliders operated by the UK National Oceanography Centre have lost a wing mid-mission without the pilot being aware of the problem until the point of vehicle retrieval. In this study, the steady-s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9771ab9976507748a3056a3fedd7016d
https://doi.org/10.1109/auv50043.2020.9267895
https://doi.org/10.1109/auv50043.2020.9267895
Autor:
Eric Rogers, Micheal Smart, Andrea Munafo, Georgios Salavasidis, Miles Pebody, Alexander B. Phillips, Thomas Prampart, Stephen D. McPhail, Robert Templeton, Daniel T. Roper, Catherine A. Harris, Davide Fenucci
Publikováno v:
Autonomous Underwater Vehicles: Design and practice ISBN: 9781785617034
This work develops a TAN algorithm that relies on basic motion sensors and bathymetric observations obtained by low-power sonars (e.g. a single-beam sounder or a downward-facing ADCP while in bottom -tracking regime) and is sufficiently robust to dea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::533f995d8ccb4edd5f0ce9f6bd0747d5
https://doi.org/10.1049/sbra525e_ch6
https://doi.org/10.1049/sbra525e_ch6
Autor:
Alvaro Lorenzo, Alexander B. Phillips, Giles Thomas, Georgios Salavasidis, Catherine A. Harris, Peng Wu, Enrico Anderlini
Publikováno v:
Ocean Engineering. 236:109531
Marine Autonomous Systems (MAS) operating at sea beyond visual line of sight need to be self-reliant, as any malfunction could lead to loss or pose a risk to other sea users. In the absence of fully automated on-board control and fault detection tool
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f0dfd205ad864decae25218c87e946b
https://doi.org/10.1016/j.oceaneng.2021.109531
https://doi.org/10.1016/j.oceaneng.2021.109531
Autor:
Peng Wu, Izzat Kamarudzaman, Enrico Anderlini, Alexander B. Phillips, Giles Thomas, Alvaro Lorenzo-Lopez, Georgios Salavasidis, Catherine A. Harris
Publikováno v:
Engineering Applications of Artificial Intelligence. 104:104379
An effective anomaly detection system is critical for marine autonomous systems operating in complex and dynamic marine environments to reduce operational costs and achieve concurrent large-scale fleet deployments. However, developing an automated fa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f59566f4515a02384975157b87171b4
https://doi.org/10.1016/j.engappai.2021.104379
https://doi.org/10.1016/j.engappai.2021.104379