Safe Model-Based Multivariable Control of Peritoneal Perfusion

Yejin Moon, Behzad KadkhodaeiElyaderani, Joshua Leibowitz, Parham Rezaei, Eman M. Abdelazim, Morcos Awad, Stephen Stachnik, Shelby Stewart, Joseph S. Friedberg, Jin Oh Hahn, Hosam K. Fathy

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper examines the control of abdominal perfusion during medical interventions. The goal is to avoid safety risks such as excessive retained fluid volume, tissue damage/trauma, and intra-abdominal hypertension. The paper presents a perfusion system with peristaltic pumps dictating fluid inflow/outflow rates, and uses model-based control to avoid multiple safety risks simultaneously. Specifically, the paper: (i) introduces a discharge efficiency metric reflecting the risk of tissue trauma and/or outflow cavitation; (ii) identifies a dynamic model of discharge efficiency from animal test data; and, (iii) develops a safe perfusion control algorithm based on this model. The algorithm receives three user inputs: a desired inflow rate, a desired perfused volume, and a safety bound on discharge efficiency. The algorithm minimizes the deviation of the commanded inflow/outflow rates from a nonlinear model reference controller, subject to a barrier constraint on discharge efficiency. This furnishes a switching control structure providing convergence to the desired perfusion settings in the absence of outflow occlusion, and operating safely when outflow is occluded, as shown in simulation-based validation studies.

Original languageEnglish
Title of host publicationIFAC-PapersOnLine
EditorsMarcello Canova
PublisherElsevier B.V.
Pages301-306
Number of pages6
Edition3
ISBN (Electronic)9781713872344
DOIs
StatePublished - Oct 1 2023
Externally publishedYes
Event3rd Modeling, Estimation and Control Conference, MECC 2023 - Lake Tahoe, United States
Duration: Oct 2 2023Oct 5 2023

Publication series

NameIFAC-PapersOnLine
Number3
Volume56
ISSN (Electronic)2405-8963

Conference

Conference3rd Modeling, Estimation and Control Conference, MECC 2023
Country/TerritoryUnited States
CityLake Tahoe
Period10/2/2310/5/23

Keywords

  • Safe model reference control
  • barrier functions
  • biomedical devices
  • perfusion

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