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Reseach Article

Model Predictive Control for Positioning and Navigation of Mobile Robot with Cooperation of UAV

by Moustafa M. Kurdi, Imad A. Elzein, Alex K. Dadykin
Communications on Applied Electronics
Foundation of Computer Science (FCS), NY, USA
Volume 6 - Number 7
Year of Publication: 2017
Authors: Moustafa M. Kurdi, Imad A. Elzein, Alex K. Dadykin
10.5120/cae2017652506

Moustafa M. Kurdi, Imad A. Elzein, Alex K. Dadykin . Model Predictive Control for Positioning and Navigation of Mobile Robot with Cooperation of UAV. Communications on Applied Electronics. 6, 7 ( Feb 2017), 17-25. DOI=10.5120/cae2017652506

@article{ 10.5120/cae2017652506,
author = { Moustafa M. Kurdi, Imad A. Elzein, Alex K. Dadykin },
title = { Model Predictive Control for Positioning and Navigation of Mobile Robot with Cooperation of UAV },
journal = { Communications on Applied Electronics },
issue_date = { Feb 2017 },
volume = { 6 },
number = { 7 },
month = { Feb },
year = { 2017 },
issn = { 2394-4714 },
pages = { 17-25 },
numpages = {9},
url = { https://www.caeaccess.org/archives/volume6/number7/703-2017652506/ },
doi = { 10.5120/cae2017652506 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-09-04T19:56:53.415514+05:30
%A Moustafa M. Kurdi
%A Imad A. Elzein
%A Alex K. Dadykin
%T Model Predictive Control for Positioning and Navigation of Mobile Robot with Cooperation of UAV
%J Communications on Applied Electronics
%@ 2394-4714
%V 6
%N 7
%P 17-25
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
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 Fuzzy Model Predictive Control (FMPC) is proposed to solve the positioning and navigation problems for mobile robot.

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Index Terms

Computer Science
Information Sciences

Keywords

Navigation; Fuzzy; MPC; Mobile Robot; UAV