Decision algorithms for Unmanned Underwater Vehicles during offensive operations
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2006.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2006
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| Online Access: | http://hdl.handle.net/1721.1/35081 |
| _version_ | 1811068667694153728 |
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| author | Smith, Tyler B. (Tyler Bradford) |
| author2 | Margaret F. Nervegna and Cynthia Barnhart. |
| author_facet | Margaret F. Nervegna and Cynthia Barnhart. Smith, Tyler B. (Tyler Bradford) |
| author_sort | Smith, Tyler B. (Tyler Bradford) |
| collection | MIT |
| description | Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2006. |
| first_indexed | 2024-09-23T07:59:21Z |
| format | Thesis |
| id | mit-1721.1/35081 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T07:59:21Z |
| publishDate | 2006 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/350812022-01-13T07:54:23Z Decision algorithms for Unmanned Underwater Vehicles during offensive operations Decision algorithms for UUVs during offensive operations Smith, Tyler B. (Tyler Bradford) Margaret F. Nervegna and Cynthia Barnhart. Massachusetts Institute of Technology. Dept. of Civil and Environmental Engineering. Massachusetts Institute of Technology. Department of Civil and Environmental Engineering Civil and Environmental Engineering. Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2006. Includes bibliographical references (p. 115-117). The field of research involving autonomous vehicles has expanded greatly over the past decade. This thesis addresses the case of a system of Unmanned Underwater Vehicles (UUVs) operating in littoral areas in an offensive capacity. A series of complementary algorithms were designed to collect information about an enemy vessell, and subsequently use this information to both select and move to a prefered intercept location that maximizes the opportunity to both re-acquire and destroy an enemy vessel. Additionally, within the context of a specifically designed simulation, key parameter changes were analyzed to determine their effectiveness to improve the system's performance as measured by four measures of effectiveness. A methodology was also designed to optimize the location of the engaging UUVs to maximize their effectiveness, and capitalize on the enemy movement within the operational area. Results are presented for both original locations and optimized locations, and initial findings provide insight into the effectiveness of the designed algorithms and statistical inference of these key parameter changes. by Tyler B. Smith. S.M. 2006-12-18T20:04:02Z 2006-12-18T20:04:02Z 2006 2006 Thesis http://hdl.handle.net/1721.1/35081 71271507 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 117 p. 15141342 bytes 15140838 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology |
| spellingShingle | Civil and Environmental Engineering. Smith, Tyler B. (Tyler Bradford) Decision algorithms for Unmanned Underwater Vehicles during offensive operations |
| title | Decision algorithms for Unmanned Underwater Vehicles during offensive operations |
| title_full | Decision algorithms for Unmanned Underwater Vehicles during offensive operations |
| title_fullStr | Decision algorithms for Unmanned Underwater Vehicles during offensive operations |
| title_full_unstemmed | Decision algorithms for Unmanned Underwater Vehicles during offensive operations |
| title_short | Decision algorithms for Unmanned Underwater Vehicles during offensive operations |
| title_sort | decision algorithms for unmanned underwater vehicles during offensive operations |
| topic | Civil and Environmental Engineering. |
| url | http://hdl.handle.net/1721.1/35081 |
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