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DC Field | Value | Language |
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dc.contributor.author | Trofimenko, M.S. | - |
dc.date.accessioned | 2021-05-14T09:58:37Z | - |
dc.date.available | 2021-05-14T09:58:37Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Trofimenko M.S. Methods of mobile traffic management // Polit. Callanges of science today. International relations : abstracts of XXI International conference of higher education students and young scientists. – National aviation university. – Kyiv, 2021. – 20-21 P. | uk_UA |
dc.identifier.uri | https://er.nau.edu.ua/handle/NAU/50475 | - |
dc.description | 1. The vector field histogram - fast obstacle avoidance for mobile robots / J. Borenstein, Y. Koren –IEEE Transactions on Robotics and Automation. 1991. V. 7. N 3. P. 278–288 p. 2. Time optimal sliding-mode control of a mobile robot in a dynamic environment / M.Rubagotti, M. Della Vedova, A. Ferrara - IET Control Theory and Applications,2011,1916–1924 p. 3. Nearness Diagram (ND) navigation: collision avoidance in troublesome scenarios / J. Minguez, L. - Montano IEEE Transactions on Robotics and Automation, 2004, 45–59 p. 4. A globally converging algorithm for reactive robot navigation among moving and deforming obstacles / AS Matveev, MC Hoy, AV Savkin Automatica, 2015, 292–304 p. 5. et al. Path Planning for Vehicles Operating in Uncertain 2D Environments / Pshikhopov V.Kh - Butterworth-Heinemann: Elsevier, 2017, 312 p. 6. of Robot 3D Path Planning Algorithms / Yang L., Qi J., Song D., Han J., Xia Y. Survey -Journal of Control Science and Engineering, 2016, 225 p. 7. Planning Algorithms / LaValle S. - Cambridge University Press, 2006, 842 p. 8. Heuristic approaches in robot path planning: A survey / Mac T.T., Copot C., Tran D.T., De Keyser R. - Robotics and Autonomous Systems,2016, 1328p. 9. Intelligent Control and Path Planning of Multiple Mobile Robots Using Hybrid Ai Techniques / Jha A.K. - PhD thesis, 2016, 213 p. 10. Distributed sampled-data control of nonholonomic multi-robot systems with proximity networks / Liu Z. – Automatica, 2017, 170179 p. | uk_UA |
dc.description.abstract | In order to be competitive, robotic systems must have the following properties: relative ease of operation; ease of use; easy to set up; adaptability to change; safety in use; ergonomics of units and mechanisms; energy efficiency, ensuring autonomous energy supply; versatility. | uk_UA |
dc.description.abstract | Для того, щоб бути конкурентоспроможними, роботизовані системи повинні мати такі властивості: відносна простота експлуатації; простота використання; проста у налаштуванні; пристосованість до змін; безпека у використанні; ергономіка агрегатів і механізмів; енергоефективність, що забезпечує автономне енергопостачання; універсальність. | uk_UA |
dc.publisher | National Aviation University | uk_UA |
dc.subject | mobile networks | uk_UA |
dc.subject | traffic management | uk_UA |
dc.subject | versatility | uk_UA |
dc.subject | energy supply | uk_UA |
dc.subject | energy efficiency | uk_UA |
dc.subject | adaptability to change | uk_UA |
dc.subject | мобільна мережа | uk_UA |
dc.subject | управління дорожнім рухом | uk_UA |
dc.subject | універсальність | uk_UA |
dc.subject | енергозабезпечення | uk_UA |
dc.subject | енергоефективність | uk_UA |
dc.subject | пристосованість до змін | uk_UA |
dc.title | Methods of mobile traffic management | uk_UA |
dc.title.alternative | Методи управління мобільним трафіком | uk_UA |
dc.type | Thesis | uk_UA |
Appears in Collections: | Політ. Телекомунікаційні та радіотехнічні системи. 2021 |
Files in This Item:
File | Description | Size | Format | |
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МНПК Авіа 2021 - ТКРС-11-12.pdf | the abstracts of the conference | 462.43 kB | Adobe PDF | View/Open |
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