| DC Field | Value | Language |
|---|
| dc.contributor.author | Kurdi, M. | - |
| dc.contributor.author | Elzein, I. A. | - |
| dc.contributor.author | Dadykin, A. K. | - |
| dc.date.accessioned | 2017-12-15T07:36:00Z | - |
| dc.date.available | 2017-12-15T07:36:00Z | - |
| dc.date.issued | 2017 | - |
| dc.identifier.citation | Kurdi, M. Model predictive control for positioning and navigation of mobile robot with cooperation of UAV / M. Kurdi, I. Elzein, А. К. Dadykin // Communications on Applied Electronics (CAE), Vol. 6, No. 7, February 2017. - New York : Foundation of Computer Science, 2017. - Рp. 17-25. - DOI: 10.5120/ cae2017652506. | ru_RU |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/28649 | - |
| dc.description.abstract | The purpose of navigation system is to help mobile robot in order to select an optimal and short path to reach the target. In most of these systems, GPS are used to determine the robot position. There are errors in positioning using GPS. This paper considers the problem of navigating a Mobile Robot in an unknown environment while maintaining visibility with a (movable or non-movable) target by means of Fuzzy Model Predictive Control (FMPC). The approach combines input variables from different resources such as: GPS, RVS (Robot Vision System), and QVS (Quad-copter Vision System). In this paper, a new approach based on FMPC is proposed to solve the positioning and navigation problems for mobile robot. | ru_RU |
| dc.language.iso | en | ru_RU |
| dc.publisher | Foundation of Computer Science (FCS) | ru_RU |
| dc.subject | публикации ученых | ru_RU |
| dc.subject | navigation | ru_RU |
| dc.subject | fuzzy | ru_RU |
| dc.subject | MPC | ru_RU |
| dc.subject | mobile robot | ru_RU |
| dc.subject | UAV | ru_RU |
| dc.title | Model predictive control for positioning and navigation of mobile robot with cooperation of UAV | ru_RU |
| dc.type | Статья | ru_RU |
| Appears in Collections: | Публикации в зарубежных изданиях
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