Systems Biology Modelling of SIRS Epidemic Spread: Computational Cybernetic Issues
| dc.authorid | tukel, dilek b/0000-0001-5288-5996 | |
| dc.authorid | Ozen, Figen/0000-0002-1759-0073 | |
| dc.authorwosid | tukel, dilek b/D-9905-2011 | |
| dc.authorwosid | Ertan, Asli/AAE-6201-2021 | |
| dc.authorwosid | Ozen, Figen/V-7456-2019 | |
| dc.contributor.author | Jing, Yuanwei | |
| dc.contributor.author | Dimirovski, Georgi M. | |
| dc.contributor.author | Tukel, Dilek Bilgin | |
| dc.contributor.author | Ozen, Figen | |
| dc.date.accessioned | 2024-03-15T15:24:55Z | |
| dc.date.available | 2024-03-15T15:24:55Z | |
| dc.date.issued | 2017 | |
| dc.department | Doğuş Üniversitesi | en_US |
| dc.description | IEEE International Conference on Systems, Man, and Cybernetics (SMC) -- OCT 05-08, 2017 -- Banff, CANADA | en_US |
| dc.description.abstract | The estimation of the domain of attraction of a class of susceptible-infectious-removed-susceptible immigration is investigated. On assumption the disease-free equilibrium and the endemic equilibrium existences, hence a Lyapunov function too, the domain of attraction of the epidemic model is estimated by means of LF-LMI-moment and SOS optimization approaches. An invariant subset of the domain of attraction, along with certain enlargement, has been achieved. Simulation results, given in a comparison presentation, demonstrate feasibility and validity of the proposed technique as well as reveal that this algorithm outperforms other ones in applications to epidemic models. | en_US |
| dc.description.sponsorship | IEEE | en_US |
| dc.description.sponsorship | National Natural Science Foundation of P.R. China [60774097]; Fond for Science of Dogus University | en_US |
| dc.description.sponsorship | This research has been supported in part by the National Natural Science Foundation of P.R. China, under grant 60774097, and in part by the Fond for Science of Dogus University. Send all correspondence to G.M. Dimirovski. | en_US |
| dc.identifier.endpage | 917 | en_US |
| dc.identifier.isbn | 978-1-5386-1645-1 | |
| dc.identifier.issn | 1062-922X | |
| dc.identifier.startpage | 912 | en_US |
| dc.identifier.uri | https://hdl.handle.net/11376/4706 | |
| dc.identifier.wos | WOS:000427598700159 | en_US |
| dc.identifier.wosquality | N/A | en_US |
| dc.indekslendigikaynak | Web of Science | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | IEEE | en_US |
| dc.relation.ispartof | 2017 Ieee International Conference On Systems, Man, and Cybernetics (Smc) | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Diseases | en_US |
| dc.subject | Dinamic Models | en_US |
| dc.subject | Domain Of Attraction | en_US |
| dc.subject | Epidemic Disease | en_US |
| dc.subject | Estimation | en_US |
| dc.subject | Sirs Models Of Epidemic Diseases | en_US |
| dc.subject | Stability Analysis | en_US |
| dc.subject | Global Optimization | en_US |
| dc.subject | Lyapunov Functions | en_US |
| dc.subject | Attraction | en_US |
| dc.subject | Vaccination | en_US |
| dc.subject | Polynomials | en_US |
| dc.subject | Region | en_US |
| dc.subject | Domain | en_US |
| dc.subject | Sum | en_US |
| dc.title | Systems Biology Modelling of SIRS Epidemic Spread: Computational Cybernetic Issues | en_US |
| dc.type | Conference Object | en_US |












