On second order consensus protocols allowing joint-agent interactions
File(s)CDC19AngeliTesi.pdf (378.05 KB)
Accepted version
Author(s)
Tesi, A
Angeli, D
Type
Conference Paper
Abstract
In this note, we propose a second order consensus protocol allowing joint-agent interactions. Our analysis is addressed to networks where agents are grouped in interaction triplets. A triplet is a set of three distinct agents, where the interaction dynamics is such that one member is sensitive to the influence brought by the other two only when it receives simultaneous and consistent opinions from them. This allows the network to reach a second order consensus configuration more robustly, even in the presence of exogenous disturbances on the dynamics of one or more agents. The piecewise linear function used to model the robust interaction within a triplet leads to the energy of the interaction being conserved along certain directions, as if some agents were connected by virtual springs. In conclusion, a convergence analysis is performed by means of the recursive detection of such conservation laws.
Date Issued
2020-03-12
Date Acceptance
2020-03-01
Citation
2019 IEEE 58TH CONFERENCE ON DECISION AND CONTROL (CDC), 2020, pp.3509-3514
ISSN
0743-1546
Publisher
IEEE
Start Page
3509
End Page
3514
Journal / Book Title
2019 IEEE 58TH CONFERENCE ON DECISION AND CONTROL (CDC)
Copyright Statement
© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000560779003035&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Source
58th IEEE Conference on Decision and Control (CDC)
Subjects
Science & Technology
Technology
Automation & Control Systems
Engineering, Electrical & Electronic
Engineering
SENSOR NETWORKS
TIME
ALGORITHMS
Publication Status
Published
Start Date
2019-12-11
Finish Date
2019-12-13
Coverage Spatial
Nice, FRANCE
Date Publish Online
2020-03-12