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Decentralized control for multi-agent missions based on flocking rules
Ribeiro, Rafael1; Silvestre, Daniel2; Silvestre, Carlos2
2021-09
Conference Name14th APCA International Conference on Automatic Control and Soft Computing (CONTROLO)
Source PublicationLecture Notes in Electrical Engineering
Volume695
Pages445-454
Conference DateJUL 01-03, 2020
Conference PlaceBraganca
CountryPORTUGAL
Abstract

This paper addresses the problem of having a multi-agent system converging to multiple dynamic rendezvous areas for networks of agents with no localization sensors and limited communication capabilities. The localization is performed by measurement/communication towers that determine the noisy position and velocity of each relevant agent and transmit them using a directional antenna. There is no assumption on the connectedness of the network topology, which is unknown to all agents. The proposed solution consists of an improved flocking-based movement algorithm tailored to the proposed scenario, with mechanisms to prevent collisions. The performance of the solution is presented through multiple simulations for a multitude of environments. By an appropriate selection of an utility function, these empirical results hint to the possibility of realizing different types of missions intended for multi-agent systems using swarm behavior.

KeywordDecentralized Control Flocking Algorithms Multi-agent Systems
DOI10.1007/978-3-030-58653-9_43
URLView the original
Indexed ByCPCI-S
Language英語English
WOS Research AreaAutomation & Control Systems ; Computer Science ; Robotics
WOS SubjectAutomation & Control Systems ; Computer Science, Interdisciplinary Applications ; Robotics
WOS IDWOS:000894277100043
Scopus ID2-s2.0-85091274998
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Document TypeConference paper
CollectionDEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
Affiliation1.Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal
2.Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Macao
Recommended Citation
GB/T 7714
Ribeiro, Rafael,Silvestre, Daniel,Silvestre, Carlos. Decentralized control for multi-agent missions based on flocking rules[C], 2021, 445-454.
APA Ribeiro, Rafael., Silvestre, Daniel., & Silvestre, Carlos (2021). Decentralized control for multi-agent missions based on flocking rules. Lecture Notes in Electrical Engineering, 695, 445-454.
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