Edge‐wise funnel synchronization

Edge‐wise funnel synchronization Recently, it was suggested in [Shim & Trenn 2015] to use the idea of funnel control in the context of synchronization of multi‐agent systems. In that approach each agent is able to measure the difference of its own state and the average state of its neighbours and this synchronization error is used in a typical funnel gain feedback law, see e.g. [Ilchmann & Ryan 2008]. Instead of considering one error signal for each node of the coupling graph (corresponding to an agent) it is also possible to consider one error signal for each edge of the graph. In contrast to the node‐wise approach this edgewise funnel synchronization approach results (at least in simulations) in a predictable consensus trajectory. (© 2017 Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim) http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Proceedings in Applied Mathematics & Mechanics Wiley

Edge‐wise funnel synchronization

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Publisher
Wiley
Copyright
Copyright © 2017 Wiley Subscription Services
ISSN
1617-7061
eISSN
1617-7061
D.O.I.
10.1002/pamm.201710378
Publisher site
See Article on Publisher Site

Abstract

Recently, it was suggested in [Shim & Trenn 2015] to use the idea of funnel control in the context of synchronization of multi‐agent systems. In that approach each agent is able to measure the difference of its own state and the average state of its neighbours and this synchronization error is used in a typical funnel gain feedback law, see e.g. [Ilchmann & Ryan 2008]. Instead of considering one error signal for each node of the coupling graph (corresponding to an agent) it is also possible to consider one error signal for each edge of the graph. In contrast to the node‐wise approach this edgewise funnel synchronization approach results (at least in simulations) in a predictable consensus trajectory. (© 2017 Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim)

Journal

Proceedings in Applied Mathematics & MechanicsWiley

Published: Jan 1, 2017

References

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