Multiagent Systems with Compasses

dc.contributor.authorMeng, Ziyang
dc.contributor.authorShi, Guodong
dc.contributor.authorJohansson , Karl Henrik
dc.date.accessioned2016-06-14T23:19:19Z
dc.date.issued2015
dc.date.updated2016-06-14T08:38:07Z
dc.description.abstractThis paper investigates agreement protocols over cooperative and cooperativeantagonistic multiagent networks with coupled continuous-time nonlinear dynamics. To guarantee convergence for such systems, it is common in the literature to assume that the vector field of each agent is pointing inside the convex hull formed by the states of the agent and its neighbors, given that the relative states between each agent and its neighbors are available. This convexity condition is relaxed in this paper, as we show that it is enough that the vector field belongs to a strict tangent cone based on a local supporting hyperrectangle. The new condition has the natural physical interpretation of requiring shared reference directions in addition to the available local relative states. Such shared reference directions can be further interpreted as if each agent holds a magnetic compass indicating the orientations of a global frame. It is proved that the cooperative multiagent system achieves exponential state agreement if and only if the time-varying interaction graph is uniformly jointly quasi-strongly connected. Cooperative-antagonistic multiagent systems are also considered. For these systems, the relation has a negative sign for arcs corresponding to antagonistic interactions. State agreement may not be achieved, but instead it is shown that all the agents’ states asymptotically converge, and their limits agree componentwise in absolute values if and in general only if the time-varying interaction graph is uniformly jointly strongly connected.
dc.identifier.issn1052-6234
dc.identifier.urihttp://hdl.handle.net/1885/102845
dc.publisherSociety for Industrial and Applied Mathematics
dc.sourceSIAM Journal on Optimization
dc.titleMultiagent Systems with Compasses
dc.typeJournal article
local.bibliographicCitation.issue5
local.bibliographicCitation.lastpage3080
local.bibliographicCitation.startpage3057
local.contributor.affiliationMeng, Ziyang, ACCESS Linnaeus Center and School of Electrical Engineering
local.contributor.affiliationShi, Guodong, College of Engineering and Computer Science, ANU
local.contributor.affiliationJohansson , Karl Henrik , Access Linnaeus Centre, School of Electrical Engineering
local.contributor.authoruidShi, Guodong, u5549252
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor090602 - Control Systems, Robotics and Automation
local.identifier.absfor010203 - Calculus of Variations, Systems Theory and Control Theory
local.identifier.absseo970109 - Expanding Knowledge in Engineering
local.identifier.absseo970101 - Expanding Knowledge in the Mathematical Sciences
local.identifier.ariespublicationu1008059xPUB63
local.identifier.citationvolume53
local.identifier.doi10.1137/140982283
local.identifier.scopusID2-s2.0-84945959811
local.type.statusPublished Version

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