NDLI: Decentralized control strategies for connectivity guaranteed tracking of multi-agent systems

Content Provider	IEEE Xplore Digital Library
Author	Qin Li Zhong-Ping Jiang
Copyright Year	2008
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Polytech. Univ., Brooklyn, NY (Qin Li; Zhong-Ping Jiang)
Abstract	In this paper, we study the control strategy for connectivity guaranteed trajectory tracking for multi-agent systems using artificial potential based approach. Some agents, called active agents (AAs), which are attracted by the reference point (modeled as the virtual leader), lead the rest of the group to perform the task. Special features of our approach are that the group is not required to be initially connected and the AAs are not fixed as the system evolves. Two control strategies, each of which consists of an AA switching rule and the coupled flocking controller, are proposed to realize different kinds of connectivity as well as other well-known flocking specifications for the multi-agent group.
Starting Page	323
Ending Page	328
File Size	174294
Page Count	6
File Format	PDF
ISBN	9781424421138
DOI	10.1109/WCICA.2008.4592945
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-06-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Lead Control systems Force Multiagent systems Trajectory Switches Sensors active agent Decentralized control multi-agent system potential function
Content Type	Text
Resource Type	Article

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Decentralized control strategies for connectivity guaranteed tracking of multi-agent systems