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Analysis, Identification, and Validation of Discrete-Time Epidemic Processes (vol 28, pg 717, 2020)
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control).ORCID iD: 0000-0002-4095-7320
SUNY Stony Brook, Dept Elect & Comp Engn, Stony Brook, NY 11794 USA..
Univ Illinois Urbana Champaign UIUC, Coordinated Sci Lab, Champaign, IL 61801 USA..
Univ Illinois Urbana Champaign UIUC, Agr & Consumer Econ Dept, Champaign, IL 61801 USA..ORCID iD: 0000-0003-1994-2789
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2021 (English)In: IEEE Transactions on Control Systems Technology, ISSN 1063-6536, E-ISSN 1558-0865, Vol. 29, no 2, p. 934-935Article in journal (Refereed) Published
Abstract [en]

We provide corrections to two typos (in Assumption 3 and Corollary 2) and three misstatements (in Corollary 1 and Theorems 3 and 4) of [1].

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2021. Vol. 29, no 2, p. 934-935
Keywords [en]
Discrete event simulation, Control systems
National Category
Computational Mathematics
Identifiers
URN: urn:nbn:se:kth:diva-319129DOI: 10.1109/TCST.2019.2947228ISI: 000617398200042Scopus ID: 2-s2.0-85085999416OAI: oai:DiVA.org:kth-319129DiVA, id: diva2:1699626
Note

QC 20220928

Available from: 2022-09-28 Created: 2022-09-28 Last updated: 2022-09-28Bibliographically approved

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Pare, Philip E.

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