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JOURNALS // Dal'nevostochnyi Matematicheskii Zhurnal // Archive

Dal'nevost. Mat. Zh., 2022 Volume 22, Number 2, Pages 170–175 (Mi dvmg483)

Modeling and simulation of cerebral blood flow autoregulation considered as an output regulation control problem

A. E. Golubev

Ishlinsky Institute for Problems in Mechanics of the Russian Academy of Sciences, Moscow

Abstract: A mathematical model of cerebral blood flow in the form of a system of nonlinear ordinary differential equations is studied. The cerebral blood flow autoregulation modeling problem is formulated as an output regulation automatic control problem. The nonlinear dynamics inversion based approach is applied to reveal the controllability properties of the model and construct the feedback control laws which describe mathematics behind the cerebrovascular autoregulation mechanism.

Key words: intracranial hemodynamics, cerebral autoregulation, nonlinear control, dynamics inversion, output regulation.

UDC: 519.71

MSC: 93C95

Received: 28.06.2022

Language: English

DOI: 10.47910/FEMJ202220



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