A network-decentralised strategy for shortest-path-flow routing

Conference Paper (2019)
Author(s)

Franco Blanchini (Università degli Studi di Udine)

Daniele Casagrande (Università degli Studi di Udine)

Filippo Fabiani (TU Delft - Mechanical Engineering)

Giulia Giordano (TU Delft - Mechanical Engineering)

Raffaele Pesenti (Università Ca’ Foscari Venezia )

Research Group
Team Bart De Schutter
DOI related publication
https://doi.org/10.1109/CDC40024.2019.9029968 Final published version
More Info
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Publication Year
2019
Language
English
Research Group
Team Bart De Schutter
Pages (from-to)
1126-1131
ISBN (electronic)
978-1-7281-1398-2
Event
58th IEEE Conference on Decision and Control, CDC 2019 (2019-12-11 - 2019-12-13), Nice, France
Downloads counter
179

Abstract

To control the flow in a dynamical network where the nodes are associated with buffer variables and the arcs with controlled flows, we consider a network-decentralised strategy such that each arc controller makes its decision exclusively based on local information about the levels of the buffers that it connects. We seek a flow control law that asymptotically minimises a cost specified in terms of a weighted L1-norm. This approach has the advantage of providing a solution that is generally sparse, because it uses a limited number of controlled flows. In particular, in the presence of a resource demand applied on a single node, the asymptotic flow is concentrated along the shortest path.