Integer cum fractional ordered active-adaptive synchronization to control vasospasm in chaotic blood vessels to reduce risk of COVID-19 infections
International Journal of Computer Mathematics
; 2023.
Article
in English
| Scopus | ID: covidwho-2245266
ABSTRACT
Chaotic states of abnormal vasospasms in blood vessels make heart patients more prone to severe infections of COVID-19, eventually leading to high fatalities. To understand the inherent dynamics of such abrupt vasospasms, an N-type blood vessel model (NBVM) subjected to uncertainties is derived in this paper and investigated both in integer order (IO) as well as fractional-order (FO) dynamics. Active-adaptive controllers are designed to synchronize the chaotic turbulence responsible for undesirable fluctuations in diameter and pressure variations of the blood vessel. The FO-NBVM reveals insightful rich dynamics and faster adaptive synchronization compared to its IO model. The practical implications of this work will be useful in analysing chaotic dysfunctionalities of the blood vessel such as vasoconstriction, ischaemia, necrosis, etc. and help in developing control strategies and modular responses for COVID-19 triggered heart diseases. © 2023 Informa UK Limited, trading as Taylor & Francis Group.
Adaptive control systems; Blood; Blood vessels; Cell death; Disease control; Dynamics; Active-adaptive control; Adaptive Control; Adaptive synchronizations; Blood vessel models; Chaotic state; Chaotics; Fractional order; Heart patients; Integer order; Uncertainty; COVID-19; blood vessel model; chaos
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Prognostic study
Language:
English
Journal:
International Journal of Computer Mathematics
Year:
2023
Document Type:
Article
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