Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/5597
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dc.contributor.authorMishra, Vivek-
dc.contributor.authorMaitra, Sarit-
dc.contributor.authorDash, Mihir-
dc.contributor.authorAgrawal, Saurabh Kumar-
dc.contributor.authorAgarwal, Praveen-
dc.date.accessioned2024-02-02T10:39:12Z-
dc.date.available2024-02-02T10:39:12Z-
dc.date.issued2023-11-01-
dc.identifier.citationVol. 5, No. 3; pp. 233-241en_US
dc.identifier.issn2687-4539-
dc.identifier.urihttps://doi.org/10.51537/chaos.1320492-
dc.identifier.urihttp://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/5597-
dc.description.abstractChaos, which is found in many dynamical systems, due to the presence of chaos, systems behave erratically. Due to its erratic behaviour, the chaotic behaviour of the system needs to be controlled. Severe acute respiratory syndrome Coronavirus 2 (Covid-19), which has spread all over the world as a pandemic. Many dynamical systems have been proposed to understand the spreading behaviour of the disease. This paper investigates the chaos in the outbreak of COVID-19 via an epidemic model. Chaos is observed in the proposed SIR model. The controller is designed based on the fractional-order Routh Hurwitz criteria for fractional-order derivatives. The chaotic behaviour of the model is controlled by feedback control techniques, and the stability of the system is discussed. © 2023. Published by The Company of Biologists Ltd.en_US
dc.language.isoenen_US
dc.publisherChaos Theory and Applicationsen_US
dc.subjectChaosen_US
dc.subjectChaotic Attractoren_US
dc.subjectFeedback Controlen_US
dc.subjectFractional Orderen_US
dc.subjectRouth Hurwitz Crien_US
dc.subjectStabilityen_US
dc.titleChaos And Control Of Covid-19 Dynamical Systemen_US
dc.typeArticleen_US
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