Residential College | false |
Status | 已發表Published |
Decentralized control for multi-agent missions based on flocking rules | |
Ribeiro, Rafael1; Silvestre, Daniel2; Silvestre, Carlos2 | |
2021-09 | |
Conference Name | 14th APCA International Conference on Automatic Control and Soft Computing (CONTROLO) |
Source Publication | Lecture Notes in Electrical Engineering |
Volume | 695 |
Pages | 445-454 |
Conference Date | JUL 01-03, 2020 |
Conference Place | Braganca |
Country | PORTUGAL |
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. |
Keyword | Decentralized Control Flocking Algorithms Multi-agent Systems |
DOI | 10.1007/978-3-030-58653-9_43 |
URL | View the original |
Indexed By | CPCI-S |
Language | 英語English |
WOS Research Area | Automation & Control Systems ; Computer Science ; Robotics |
WOS Subject | Automation & Control Systems ; Computer Science, Interdisciplinary Applications ; Robotics |
WOS ID | WOS:000894277100043 |
Scopus ID | 2-s2.0-85091274998 |
Fulltext Access | |
Citation statistics | |
Document Type | Conference paper |
Collection | DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING |
Affiliation | 1.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. |
Files in This Item: | There are no files associated with this item. |
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment