Modeling of Cerebral Blood Flow Autoregulation Using Intracranial Pressure Estimation by means of a State Observer

10 pages•Published: December 11, 2024

Abstract

A mathematical model of cerebral blood flow in the form of a dynamical system is considered. The cerebral blood flow autoregulation modeling problem is treated as an output regulation control problem. The cerebral autoregulation mechanism is described in terms of an output feedback control law based on measurements of the arterial-arteriolar blood flow rate values and intracranial pressure estimates made by an asymptotic state observer. Simulation results confirm good performance of the suggested cerebral blood flow autoregulation model in the form of a dynamic output feedback.

Keyphrases: cerebral autoregulation, intracranial hemodynamics, intracranial pressure estimation, nonlinear control, output regulation

In: Varvara L Turova, Andrey E Kovtanyuk and Johannes Zimmer (editors). Proceedings of 3rd International Workshop on Mathematical Modeling and Scientific Computing, vol 104, pages 99-108.

Links:	https://easychair.org/publications/paper/pblx4
	https://doi.org/10.29007/jj73

BibTeX entry

@inproceedings{MMSC2024:Modeling_Cerebral_Blood_Flow,
  author    = {Alexey Golubev},
  title     = {Modeling of Cerebral Blood Flow Autoregulation Using Intracranial Pressure Estimation by means of a State Observer},
  booktitle = {Proceedings of  3rd International Workshop on Mathematical Modeling and Scientific Computing},
  editor    = {Varvara L Turova and Andrey E Kovtanyuk and Johannes Zimmer},
  series    = {EPiC Series in Computing},
  volume    = {104},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-7340},
  url       = {/publications/paper/pblx4},
  doi       = {10.29007/jj73},
  pages     = {99-108},
  year      = {2024}}

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