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.
Original language | English |
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Title of host publication | Proceedings of the IEEE 58th Conference on Decision and Control, CDC 2019 |
Publisher | IEEE |
Pages | 1126-1131 |
ISBN (Electronic) | 978-1-7281-1398-2 |
DOIs | |
Publication status | Published - 2019 |
Event | 58th IEEE Conference on Decision and Control, CDC 2019 - Nice, France Duration: 11 Dec 2019 → 13 Dec 2019 |
Conference
Conference | 58th IEEE Conference on Decision and Control, CDC 2019 |
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Country/Territory | France |
City | Nice |
Period | 11/12/19 → 13/12/19 |