2013
DOI: 10.1109/tii.2012.2219541
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Distributed Control of Coordinated Path Tracking for Networked Nonholonomic Mobile Vehicles

Abstract: This paper addresses the problem of coordinated path tracking for networked nonholonomic mobile vehicles, while building and keeping a desired formation. The control laws proposed are categorized into two envelopes by integrating individual path tracking and global virtual structure approaches. One is steering individual vehicles to track virtual vehicles moving along predefined paths, generated by a formation reference vehicle (FRV) of a time-varying desired virtual structure. The other is ensuring paths to b… Show more

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Cited by 126 publications
(41 citation statements)
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References 48 publications
(74 reference statements)
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“…In order to observe the dynamic environment, many intelligent devices, which are called Distributed Intelligent Network Devices, are installed in the iSpace. [25,26] At the current state of science the greatest problem is caused by self-localization of robots (orientation, obstacle avoidance, path planning, etc.). There are several types of sophisticated methods for this problem.…”
Section: Informatics Conceptsmentioning
confidence: 99%
“…In order to observe the dynamic environment, many intelligent devices, which are called Distributed Intelligent Network Devices, are installed in the iSpace. [25,26] At the current state of science the greatest problem is caused by self-localization of robots (orientation, obstacle avoidance, path planning, etc.). There are several types of sophisticated methods for this problem.…”
Section: Informatics Conceptsmentioning
confidence: 99%
“…One of the basic issue in formation control is the problem of cooperative path following where multiple vehicles are required to follow pre-specified spatial paths while keeping a desired formation pattern [6,7] .…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, multi-agent systems have attracted tremendous attention due to their various applications in many areas such as formation control of mobile robots [1], [2], cooperative control of unmanned aerial vehicles [3], [4], [5], and communication among sensor networks [6]. Through information exchanges, a group of agents can work collectively to accomplish some complex tasks that can not be successfully done by a single agent.…”
Section: Introductionmentioning
confidence: 99%