Coverage control for outbreak dynamics

A.T.J.R. Cobbenhagen; D.J. Guerreiro Tomé Antunes; M.J.G. van de Molengraft; W.P.M.H. Heemels

doi:10.1109/CDC.2017.8263786

Coverage control for outbreak dynamics

A.T.J.R. Cobbenhagen, D.J. Guerreiro Tomé Antunes, M.J.G. van de Molengraft, W.P.M.H. Heemels

Control Systems Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

In this paper we investigate the problem of containing an outbreak using multiple cooperative agents. We present a general mathematical description of outbreak dynamics, which models the behaviour of many real-world situations including outbreaks of epidemic diseases, wild fires, riots, insect spreads, etc. Based on the outbreak dynamics we provide conditions on the positions of the control agents that guarantee that an outbreak can be contained before a deadline. A coverage control law that maximizes the area in which agents are able to contain a future unknown outbreak is deduced from these conditions. Simulation results illustrate the potential of the approach.

Original language	English
Title of host publication	2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	984-989
Number of pages	6
Volume	2018-January
ISBN (Electronic)	9781509028733
DOIs	https://doi.org/10.1109/CDC.2017.8263786
Publication status	Published - 18 Jan 2018
Event	56th IEEE Conference on Decision and Control (CDC 2017) - Melbourne, VIC, Australia, Melbourne, Australia Duration: 12 Dec 2017 → 15 Dec 2017 Conference number: 56 http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8253407

Conference

Conference	56th IEEE Conference on Decision and Control (CDC 2017)
Abbreviated title	CDC 2017
Country/Territory	Australia
City	Melbourne
Period	12/12/17 → 15/12/17
Internet address	http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8253407

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10.1109/CDC.2017.8263786

Cite this

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title = "Coverage control for outbreak dynamics",

abstract = "In this paper we investigate the problem of containing an outbreak using multiple cooperative agents. We present a general mathematical description of outbreak dynamics, which models the behaviour of many real-world situations including outbreaks of epidemic diseases, wild fires, riots, insect spreads, etc. Based on the outbreak dynamics we provide conditions on the positions of the control agents that guarantee that an outbreak can be contained before a deadline. A coverage control law that maximizes the area in which agents are able to contain a future unknown outbreak is deduced from these conditions. Simulation results illustrate the potential of the approach.",

author = "A.T.J.R. Cobbenhagen and {Guerreiro Tom{\'e} Antunes}, D.J. and {van de Molengraft}, M.J.G. and W.P.M.H. Heemels",

year = "2018",

month = jan,

day = "18",

doi = "10.1109/CDC.2017.8263786",

language = "English",

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booktitle = "2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "56th IEEE Conference on Decision and Control (CDC 2017), CDC 2017 ; Conference date: 12-12-2017 Through 15-12-2017",

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}

Cobbenhagen, ATJR, Guerreiro Tomé Antunes, DJ , van de Molengraft, MJG & Heemels, WPMH 2018, Coverage control for outbreak dynamics. in 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017. vol. 2018-January, Institute of Electrical and Electronics Engineers, Piscataway, pp. 984-989, 56th IEEE Conference on Decision and Control (CDC 2017), Melbourne, Australia, 12/12/17. https://doi.org/10.1109/CDC.2017.8263786

Coverage control for outbreak dynamics. / Cobbenhagen, A.T.J.R.; Guerreiro Tomé Antunes, D.J.; van de Molengraft, M.J.G. et al.
2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017. Vol. 2018-January Piscataway: Institute of Electrical and Electronics Engineers, 2018. p. 984-989.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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N2 - In this paper we investigate the problem of containing an outbreak using multiple cooperative agents. We present a general mathematical description of outbreak dynamics, which models the behaviour of many real-world situations including outbreaks of epidemic diseases, wild fires, riots, insect spreads, etc. Based on the outbreak dynamics we provide conditions on the positions of the control agents that guarantee that an outbreak can be contained before a deadline. A coverage control law that maximizes the area in which agents are able to contain a future unknown outbreak is deduced from these conditions. Simulation results illustrate the potential of the approach.

AB - In this paper we investigate the problem of containing an outbreak using multiple cooperative agents. We present a general mathematical description of outbreak dynamics, which models the behaviour of many real-world situations including outbreaks of epidemic diseases, wild fires, riots, insect spreads, etc. Based on the outbreak dynamics we provide conditions on the positions of the control agents that guarantee that an outbreak can be contained before a deadline. A coverage control law that maximizes the area in which agents are able to contain a future unknown outbreak is deduced from these conditions. Simulation results illustrate the potential of the approach.

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VL - 2018-January

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PB - Institute of Electrical and Electronics Engineers

CY - Piscataway

T2 - 56th IEEE Conference on Decision and Control (CDC 2017)

Y2 - 12 December 2017 through 15 December 2017

ER -

Coverage control for outbreak dynamics

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