kth.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Multilayer SIS Model With an Infrastructure Network
Purdue Univ, Sch Elect & Comp Engn, W Lafayette, IN 47907 USA..ORCID iD: 0000-0002-4095-7320
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control).
Rice Univ, Dept Elect & Comp Engn, Houston, TX 77005 USA..
SUNY Stony Brook, Dept Elect & Comp Engn, Stony Brook, NY 11794 USA..
Show others and affiliations
2023 (English)In: IEEE Transactions on Control of Network Systems, E-ISSN 2325-5870, Vol. 10, no 1, p. 295-307Article in journal (Refereed) Published
Abstract [en]

In this article, we develop a layered networked spread model for a susceptible-infected-susceptible pathogen-borne disease spreading over a human contact network and an infrastructure network, and refer to it as a layered networked susceptible-infected-water-susceptible model (SIWS). The "W" in SIWS represents any infrastructure network contamination, not necessarily restricted to a water distribution network. We identify sufficient conditions for the existence, uniqueness, and stability of various equilibria of the aforementioned model. Further, we study an observability problem, where, assuming that the measurements of the pathogen levels in the infrastructure network are available, we provide a necessary and sufficient condition for estimation of the sickness levels of the nodes in the human contact network. Our results are illustrated through an in-depth set of simulations.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2023. Vol. 10, no 1, p. 295-307
Keywords [en]
Statistics, Sociology, Observability, Pathogens, Analytical models, Water resources, Epidemics, Epidemic processes, infrastructure networks, stability
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-326648DOI: 10.1109/TCNS.2022.3203352ISI: 000967202900001Scopus ID: 2-s2.0-85137588992OAI: oai:DiVA.org:kth-326648DiVA, id: diva2:1755443
Note

QC 20230508

Available from: 2023-05-08 Created: 2023-05-08 Last updated: 2025-01-31Bibliographically approved

Open Access in DiVA

fulltext(708 kB)8 downloads
File information
File name FULLTEXT01.pdfFile size 708 kBChecksum SHA-512
5d84fdfe2bcf68631926dda0b317cb4ef115a84ef5e08bd8e4e3f7d2ede1c7038727bc3ed93ac7b040d5cd90c6ad034f67ef87ef06a2069feac22be12c7805ce
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus

Authority records

Pare, Philip E.Janson, AxelSandberg, HenrikJohansson, Karl H.

Search in DiVA

By author/editor
Pare, Philip E.Janson, AxelSandberg, HenrikJohansson, Karl H.
By organisation
Decision and Control Systems (Automatic Control)
In the same journal
IEEE Transactions on Control of Network Systems
Control Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 8 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 62 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf