Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/163725
Title: Simultaneous localization and formation using angle-only measurements in 2D
Authors: Chen, Liangming
Xie, Lihua
Li, Xiaolei
Fang, Xu
Feroskhan, Mir
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2022
Source: Chen, L., Xie, L., Li, X., Fang, X. & Feroskhan, M. (2022). Simultaneous localization and formation using angle-only measurements in 2D. Automatica, 146, 110605-. https://dx.doi.org/10.1016/j.automatica.2022.110605
Journal: Automatica 
Abstract: This paper solves the simultaneous localization and formation (SLAF) problem for a multi-agent system moving in 2D plane. The multi-agent system consists of leaders who have the knowledge of their absolute positions in the global coordinate frame, and followers who do not know their absolute positions but have angle-only measurements and communication with respect to their neighboring agents. The aim of SLAF is to simultaneously localize and control the followers such that a desired formation among the leaders and followers can be achieved by using locally available sensing and communication information. To handle the challenging situation where the formation becomes unlocalizable at some nongeneric configurations, a perturbation-based SLAF algorithm is proposed such that the SLAF task can be achieved with an asymptotic convergence. To meet different tasks’ requirements, three types of distributed SLAF algorithms are designed for the followers when the leaders are static, move with constant, or time-varying velocities, respectively. The effect of measurement noises, extension to other types of sensor measurements, requirement on agents’ coordinate frames, collision and collinearity avoidance are also discussed. To validate the theoretical results, simulation examples corresponding to the discussed scenarios are carried out.
URI: https://hdl.handle.net/10356/163725
ISSN: 0005-1098
DOI: 10.1016/j.automatica.2022.110605
Schools: School of Mechanical and Aerospace Engineering 
School of Electrical and Electronic Engineering 
Rights: © 2022 Elsevier Ltd. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
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