On resilient control of dynamical flow networks
(2017) In Annual Reviews in Control 43. p.80-90- Abstract
Resilience has become a key aspect in the design of contemporary infrastructure networks. This comes as a result of ever-increasing loads, limited physical capacity, and fast-growing levels of interconnectedness and complexity due to the recent technological advancements. The problem has motivated a considerable amount of research within the last few years, particularly focused on the dynamical aspects of network flows, complementing more classical static network flow optimization approaches.In this tutorial paper, a class of single-commodity first-order models of dynamical flow networks is considered. A few results recently appeared in the literature and dealing with stability and robustness of dynamical flow networks are gathered and... (More)
Resilience has become a key aspect in the design of contemporary infrastructure networks. This comes as a result of ever-increasing loads, limited physical capacity, and fast-growing levels of interconnectedness and complexity due to the recent technological advancements. The problem has motivated a considerable amount of research within the last few years, particularly focused on the dynamical aspects of network flows, complementing more classical static network flow optimization approaches.In this tutorial paper, a class of single-commodity first-order models of dynamical flow networks is considered. A few results recently appeared in the literature and dealing with stability and robustness of dynamical flow networks are gathered and originally presented in a unified framework. In particular, (differential) stability properties of monotone dynamical flow networks are treated in some detail, and the notion of margin of resilience is introduced as a quantitative measure of their robustness. While emphasizing methodological aspects -including structural properties, such as monotonicity, that enable tractability and scalability- over the specific applications, connections to well-established road traffic flow models are made.
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- author
- Como, Giacomo LU
- organization
- publishing date
- 2017
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Compartmental systems, Distributed control, Dynamical flow networks, Dynamical routing, Monotone systems, Network flow control, Network resilience, Robust control, Transportation networks
- in
- Annual Reviews in Control
- volume
- 43
- pages
- 80 - 90
- publisher
- Elsevier
- external identifiers
-
- wos:000403133700003
- scopus:85009813076
- ISSN
- 1367-5788
- DOI
- 10.1016/j.arcontrol.2017.01.001
- language
- English
- LU publication?
- yes
- id
- fd73ab74-3711-4e13-987e-38ecc71056c4
- date added to LUP
- 2017-04-11 09:52:59
- date last changed
- 2025-01-07 11:12:34
@article{fd73ab74-3711-4e13-987e-38ecc71056c4,
abstract = {{<p>Resilience has become a key aspect in the design of contemporary infrastructure networks. This comes as a result of ever-increasing loads, limited physical capacity, and fast-growing levels of interconnectedness and complexity due to the recent technological advancements. The problem has motivated a considerable amount of research within the last few years, particularly focused on the dynamical aspects of network flows, complementing more classical static network flow optimization approaches.In this tutorial paper, a class of single-commodity first-order models of dynamical flow networks is considered. A few results recently appeared in the literature and dealing with stability and robustness of dynamical flow networks are gathered and originally presented in a unified framework. In particular, (differential) stability properties of monotone dynamical flow networks are treated in some detail, and the notion of margin of resilience is introduced as a quantitative measure of their robustness. While emphasizing methodological aspects -including structural properties, such as monotonicity, that enable tractability and scalability- over the specific applications, connections to well-established road traffic flow models are made.</p>}},
author = {{Como, Giacomo}},
issn = {{1367-5788}},
keywords = {{Compartmental systems; Distributed control; Dynamical flow networks; Dynamical routing; Monotone systems; Network flow control; Network resilience; Robust control; Transportation networks}},
language = {{eng}},
pages = {{80--90}},
publisher = {{Elsevier}},
series = {{Annual Reviews in Control}},
title = {{On resilient control of dynamical flow networks}},
url = {{http://dx.doi.org/10.1016/j.arcontrol.2017.01.001}},
doi = {{10.1016/j.arcontrol.2017.01.001}},
volume = {{43}},
year = {{2017}},
}